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Probabilistic Bayesian network classifier for face recognition in video sequences

John See
<span title="">2011</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/m2673h5ysjavfpehvk6h42wcb4" style="color: black;">2011 11th International Conference on Intelligent Systems Design and Applications</a> </i> &nbsp;
This paper proposes a probabilistic Bayesian network classifier to accomplish effective recognition of faces in video sequences.  ...  The inherent properties of video sequences allow for representation of data in both spatial and temporal dimensions.  ...  Ahmad Fauzi for the invaluable suggestions and comments to this work.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/isda.2011.6121770">doi:10.1109/isda.2011.6121770</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/isda/See11.html">dblp:conf/isda/See11</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/octmvej4wneibjfowufxyg4px4">fatcat:octmvej4wneibjfowufxyg4px4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829173240/http://pesona.mmu.edu.my/~johnsee/research/papers/files/ebn_isda11.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/01/a1/01a1b7239549b1697c3b37c37b77685021518582.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/isda.2011.6121770"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Video-based face recognition using Exemplar-Driven Bayesian Network classifier

John See, Mohammad Faizal Ahmad Fauzi, Chikkannan Eswaran
<span title="">2011</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ju7npuysunfenjtzpw5wovzpxu" style="color: black;">2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)</a> </i> &nbsp;
In this paper, we propose a novel Exemplar-Driven Bayesian Network (EDBN) classifier for face recognition in video.  ...  Many recent works in video-based face recognition involved the extraction of exemplars to summarize face appearances in video sequences.  ...  In this paper, we propose a new Exemplar-Driven Bayesian Network (EDBN) classifier for face recognition in video, which introduces a joint probability function that incorporates temporal continuity between  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icsipa.2011.6144128">doi:10.1109/icsipa.2011.6144128</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icsipa/SeeFE11.html">dblp:conf/icsipa/SeeFE11</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ugx2z4is5fg7zc65owwgk7a4vm">fatcat:ugx2z4is5fg7zc65owwgk7a4vm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170705081237/http://pesona.mmu.edu.my/%7Ejohnsee/research/papers/files/edbn_icsipa11.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/30/9c/309caabe6df141a5470897d28d7bcbddfb9d1ef8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icsipa.2011.6144128"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Dynamic Bayesian Network for Unconstrained Face Recognition in Surveillance Camera Networks

Le An, Mehran Kafai, Bir Bhanu
<span title="">2013</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cuk7yvxow5gknlxza65us4b7fi" style="color: black;">IEEE Journal on Emerging and Selected Topics in Circuits and Systems</a> </i> &nbsp;
We propose a dynamic Bayesian network to incorporate the information from different cameras as well as the temporal clues from frames in a video sequence.  ...  The results demonstrate that by modeling the face in a dynamic manner the recognition performance in a multi-camera network is improved over the other classifiers with various feature descriptors and the  ...  ACKNOWLEDGMENT The authors would like to thank National ICT Australia Limited (NICTA) for providing the ChokePoint dataset.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jetcas.2013.2256752">doi:10.1109/jetcas.2013.2256752</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5xzabthqlferzhwc2xiai4dpwa">fatcat:5xzabthqlferzhwc2xiai4dpwa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829134857/http://alumni.cs.ucr.edu/~mkafai/papers/Paper_jetcas.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/27/b7/27b7bfb372430148fc201d9999e54fe36b5d0b7b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jetcas.2013.2256752"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Dynamic Probabilistic Network Based Human Action Recognition [article]

Anne Veenendaal, Eddie Jones, Zhao Gang, Elliot Daly, Sumalini Vartak, Rahul Patwardhan
<span title="2016-07-26">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This paper examines use of dynamic probabilistic networks (DPN) for human action recognition.  ...  The actions of lifting objects and walking in the room, sitting in the room and neutral standing pose were used for testing the classification.  ...  The performance of the classifier for the various human activity classes is discussed in the results section. Result The recognition accuracy was better in case of non-noisy video sequences.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1610.06395v1">arXiv:1610.06395v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lwrh3ltl5vb6zifipa7ddx4pze">fatcat:lwrh3ltl5vb6zifipa7ddx4pze</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200825180833/https://arxiv.org/ftp/arxiv/papers/1610/1610.06395.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7e/0f/7e0fb27b423fcf380fbf79bb838be67b3d726460.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1610.06395v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

A Bayesian approach to recognise facial expressions using vector flows

Xiaofan Sun, Leon Rothkrantz, Dragos Datcu, Pascal Wiggers
<span title="">2009</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pul7f2ro35d2tj5dn4pz327hiy" style="color: black;">Proceedings of the International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing - CompSysTech &#39;09</a> </i> &nbsp;
To classify facial expressions Bayesian Networks have been used. The classifier has been trained and tested on video recordings from the Cohn Kanade database.  ...  In this paper we describe a system to recognize facial expressions automatically. Special areas in the face have been selected to extract features from the vector flow of visual muscle activity.  ...  Bayesian Networks proved to be a powerful and flexible methodology for representing and computing probabilistic models in a stochastic process.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1731740.1731772">doi:10.1145/1731740.1731772</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/compsystech/SunRDW09.html">dblp:conf/compsystech/SunRDW09</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jlh7ogswb5bhtlg3droeaema5i">fatcat:jlh7ogswb5bhtlg3droeaema5i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808145847/http://ii.tudelft.nl/pub/dragos/pdf1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/cc/e1/cce1da035770fb61f08671623002a4e6e10f04bf.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1731740.1731772"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Video-based Face Recognition using Spatio-Temporal Representations [chapter]

John See, Chikkannan Eswaran, Mohammad Faizal Ahmad Fauzi
<span title="2011-07-27">2011</span> <i title="InTech"> Reviews, Refinements and New Ideas in Face Recognition </i> &nbsp;
Finally, in order to facilitate video-to-video recognition, a new exemplar-driven Bayesian network classifier which promotes temporal continuity between successive video frames is proposed to identify  ...  Cluster centers are then selected as exemplars and a probabilistic voting strategy is used to classify new video sequences.  ...  In this work, we propose a new classification method for video sequences using an exemplar-driven Bayesian network (EDBN) classifier, which introduces a joint probability 281 Video-Based Face Recognition  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/22000">doi:10.5772/22000</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/z7dvtqo7k5cr7atouatrtkathy">fatcat:z7dvtqo7k5cr7atouatrtkathy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180728073048/https://api.intechopen.com/chapter/pdf-download/17180" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/91/68/91687d2742671501cd47de21bfa466e699803f59.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/22000"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Dual-Feature Bayesian MAP Classification: Exploiting Temporal Information for Video-Based Face Recognition [chapter]

John See, Chikkannan Eswaran, Mohammad Faizal Ahmad Fauzi
<span title="">2012</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
In this work, we propose a new dualfeature Bayesian maximum-a-posteriori (MAP) classification method for face recognition in video sequences.  ...  Machine recognition of faces in video is an emerging problem.  ...  For generality, we will also discuss recent methods that employ a Bayesian probabilistic classification framework for recognition.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-34500-5_65">doi:10.1007/978-3-642-34500-5_65</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/e6yo7rzvbrgjvnrxjuhqxcscja">fatcat:e6yo7rzvbrgjvnrxjuhqxcscja</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170705081233/http://pesona.mmu.edu.my/%7Ejohnsee/research/papers/files/dfb_iconip12.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/99/52/9952d6630a2fcadf34e356de07ebd2254651c95e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-34500-5_65"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Simultaneous evolutionary neural network based automated video based facial expression analysis

S. Jeyalaksshmi, S. Prasanna
<span title="2017-12-21">2017</span> <i title="Science Publishing Corporation"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/piy2nrvrjrfcfoz5nmre6zwa4i" style="color: black;">International Journal of Engineering &amp; Technology</a> </i> &nbsp;
Face expression based physical fatigue analysis or detection is out of scope of this work, but this work proposed a Simultaneous Evolutionary Neural Network (SENN) classification scheme is proposed for  ...  With the aim of examining the temporal facial expression modifications, we apply SENN probabilistic classifiers, which examine the facial expressions in individual frames, and after that promulgate the  ...  every frame of the video sequence; and 4) probabilistic propagation of facial expressions all through the video.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14419/ijet.v7i1.1.9211">doi:10.14419/ijet.v7i1.1.9211</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2czyadl5d5h6jfn3urwgdbbeue">fatcat:2czyadl5d5h6jfn3urwgdbbeue</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180719205103/https://www.sciencepubco.com/index.php/ijet/article/download/9211/3175" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a5/cc/a5ccc527f2022ff9f3d0d60644fbbea7d7a628ec.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14419/ijet.v7i1.1.9211"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Feature Tracking and Expression Recognition of Face Using Dynamic Bayesian Network
English

Sonali V.Hedaoo, M.D. Katkar, S.P. Khandait
<span title="2014-02-25">2014</span> <i title="Seventh Sense Research Group Journals"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wczsapkvorbcbfmnmu4k6wonju" style="color: black;">International Journal of Engineering Trends and Technoloy</a> </i> &nbsp;
In proposed system, in contrast to the mainstream approaches, we are trying to build a probabilistic model based on the Dynamic Bayesian Network (DBN) to capture the facial interactions at different levels  ...  Due to the difficulty of obtaining controlled video sequences of standard facial expressions, many psychological and neurophysiologic studies of facial expression processing have used single image motivations  ...  They propose a dynamic Bayesian network to incorporate the information from different cameras as well as the temporal clues from frames in a video sequence.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14445/22315381/ijett-v8p293">doi:10.14445/22315381/ijett-v8p293</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jnt2mhufsrfnllw7b6dkzwx63u">fatcat:jnt2mhufsrfnllw7b6dkzwx63u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170810073639/http://www.ijettjournal.org/volume-8/number-10/IJETT-V8P293.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/89/d3/89d324e3a81c364815d2ad3cbd4e0802cf816c44.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14445/22315381/ijett-v8p293"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Facial gender recognition using multiple sources of visual information

Federico Matta, Usman Saeed, Caroline Mallauran, Jean-Luc Dugelay
<span title="">2008</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wi4sfc4xnvfjbivptlhisbgz4e" style="color: black;">2008 IEEE 10th Workshop on Multimedia Signal Processing</a> </i> &nbsp;
sequences is the key strategy to develop more accurate and reliable recognition systems.  ...  In this article we present a novel multimodal gender recognition system, which successfully integrates the head and mouth motion information with facial appearance by taking advantage of a unified probabilistic  ...  [9] focused on the edge information and exploited a neural network (NN) classifier for gender recognition.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/mmsp.2008.4665181">doi:10.1109/mmsp.2008.4665181</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/mmsp/MattaSMD08.html">dblp:conf/mmsp/MattaSMD08</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/oiciygpyofghdbqxv6w3yvxzeq">fatcat:oiciygpyofghdbqxv6w3yvxzeq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20120417133837/http://www.ciitlahore.edu.pk:80/Papers/487-8589007474874977480.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4d/1f/4d1f37f4b567c6991d53753dfe6267189a2b3ae3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/mmsp.2008.4665181"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Evaluation of Expression Recognition Techniques [chapter]

Ira Cohen, Nicu Sebe, Yafei Sun, Michael S. Lew, Thomas S. Huang
<span title="">2003</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
We introduce and test different Bayesian network classifiers for classifying expressions from video.  ...  In this work we report on several advances we have made in building a system for classification of facial expressions from continuous video input.  ...  Bayesian Networks for Expression Recognition A Naive-Bayes classifier is a probabilistic classifier in which the features are assumed independent given the class.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/3-540-45113-7_19">doi:10.1007/3-540-45113-7_19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/h4x5zze5fffrdbe2c6qqpxfvzm">fatcat:h4x5zze5fffrdbe2c6qqpxfvzm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20110401202351/http://disi.unitn.it/~sebe/publications/CIVR03_salient.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ef/f8/eff87ecafed67cc6fc4f661cb077fed5440994bb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/3-540-45113-7_19"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Real-Time Hand Tracking and Gesture Recognition Using Semantic-Probabilistic Network

Mykyta Kovalenko, Svetlana Antoshchuk, Juergen Sieck
<span title="">2014</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/r2ok75u3w5a3vhsdwqc4z573he" style="color: black;">2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation</a> </i> &nbsp;
Finally, a semantic-probabilistic network is introduced, which uses an ontological gesture model and Bayesian network for gesture recognition.  ...  In this paper we propose a system for real-time hand gesture recognition for use as a human-computer interface. Firstly, hand detection is performed using a Viola-Jones algorithm.  ...  After constructing and training the Bayesian network is ready for hand gesture recognition in a real-time video. V.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/uksim.2014.49">doi:10.1109/uksim.2014.49</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/uksim/KovalenkoAS14.html">dblp:conf/uksim/KovalenkoAS14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/f3j2rmnfb5gwjpahtjwh7w46ya">fatcat:f3j2rmnfb5gwjpahtjwh7w46ya</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170810081831/http://ijssst.info/Vol-15/No-4/data/4923a268.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c7/bf/c7bf288306ab270985f80cdc9648f1098d6ef9fb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/uksim.2014.49"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

A Self-Referential Perceptual Inference Framework for Video Interpretation [chapter]

Christopher Town, David Sinclair
<span title="">2003</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
of entities, relationships, and events of interest occurring in a video sequence.  ...  This paper presents an extensible architectural model for general content-based analysis and indexing of video data which can be customised for a given problem domain.  ...  The principal author received financial support from the Royal Commission for the Exhibition of 1851.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/3-540-36592-3_6">doi:10.1007/3-540-36592-3_6</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4bgk6fhapfdwfcmjaj2s66c7uu">fatcat:4bgk6fhapfdwfcmjaj2s66c7uu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20060226004930/http://www.cl.cam.ac.uk:80/~cpt23/papers/TownICVS2003.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2d/0b/2d0be50d7ed7d1e3df77fec0f7eb8b60b11485c6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/3-540-36592-3_6"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Deep features-based expression-invariant tied factor analysis for emotion recognition

Sarasi Munasinghe, Clinton Fookes, Sridha Sridharan
<span title="">2017</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/73tg2istqjeqjiyqefyhcj3ud4" style="color: black;">2017 IEEE International Joint Conference on Biometrics (IJCB)</a> </i> &nbsp;
However, our method obtains remarkable performance for temporal expression recognition by presenting a single deep network model and a sequential TFA approach with a simple probabilistic classifier.  ...  A probabilistic framework is proposed for both face identification and verification in [20] . Gong et al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/btas.2017.8272741">doi:10.1109/btas.2017.8272741</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icb/MunasingheFS17.html">dblp:conf/icb/MunasingheFS17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zur4jl6qcfai5aq5p3zgfz2p4i">fatcat:zur4jl6qcfai5aq5p3zgfz2p4i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200509172339/https://eprints.qut.edu.au/118089/1/0174.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/86/d9/86d9abf25cbb04a3a8a98b791a54d65a4fb5361f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/btas.2017.8272741"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Video Face Recognition: A Physiological and Behavioural Multimodal Approach

Federico Matta, Jean-Luc Dugelay
<span title="">2007</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/anlh4tvwprcrtoxv5d4h6a7rye" style="color: black;">2007 IEEE International Conference on Image Processing</a> </i> &nbsp;
For a consistent fusion, both systems share the same probabilistic classification framework: a Gaussian Mixture Model (GMM) approximation and a Bayesian classifier.  ...  In this article we present a multimodal system to person recognition by integrating two complementary approaches that work with video data.  ...  Bayesian classifier.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icip.2007.4380063">doi:10.1109/icip.2007.4380063</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icip/MattaD07.html">dblp:conf/icip/MattaD07</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/36wps53wcze5vj4dxnujmqkz74">fatcat:36wps53wcze5vj4dxnujmqkz74</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170830042443/http://www.eurecom.fr/fr/publication/2301/download/mm-mattfe-070916.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/dd/fd/ddfd8b9f80b796fc9e28d7ce3421f9d2f956d9cf.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icip.2007.4380063"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>
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