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Improved Object Tracking Using an Adaptive Colour Model [chapter]

Zezhi Chen, Andrew M. Wallace
<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 present the results of a study to exploit a multiple colour space model (CSM ) and variable kernels for object tracking in video sequences.  ...  Experimental results show the improved tracking capability and versatility of the algorithm in comparison with results using fixed colour models and standard kernels.  ...  In this paper, we propose to improve object tracking by using an adaptive colour model.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-74198-5_22">doi:10.1007/978-3-540-74198-5_22</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4mqg5alffjdlvmeem4cmw4h7fa">fatcat:4mqg5alffjdlvmeem4cmw4h7fa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190304045909/http://pdfs.semanticscholar.org/c111/fc0a9dff6fec1be0442291a3f2596bbdc34f.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/c1/11/c111fc0a9dff6fec1be0442291a3f2596bbdc34f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-74198-5_22"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Visual tracking with omnidirectional cameras: an efficient approach

F. Rameau, D.D. Sidibé, C. Demonceaux, D. Fofi
<span title="">2011</span> <i title="Institution of Engineering and Technology (IET)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5njumqonprdi3jwzrhnh22m7pm" style="color: black;">Electronics Letters</a> </i> &nbsp;
Experimental results show that both deterministic and probabilistic tracking methods can effectively be adapted in order to robustly track an object with an omnidirectional camera.  ...  An effective technique for applying visual tracking algorithms to omnidirectional image sequences is presented.  ...  To model the appearance of the object of interest, a weighted 3D colour histogram is used.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1049/el.2011.2838">doi:10.1049/el.2011.2838</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/b4owkuqsbnd7lgk7xewwdi6ehq">fatcat:b4owkuqsbnd7lgk7xewwdi6ehq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20130703021624/http://hal-univ-bourgogne.archives-ouvertes.fr/docs/00/63/73/43/PDF/Rameau_EL_2011.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/95/21/952148c17aeac159d36e6b82d606f587bc0ae60b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1049/el.2011.2838"> <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>

Active Segmentation and Adaptive Tracking Using Level Sets

Z. Chen, A. M. Wallace
<span title="">2007</span> <i title="British Machine Vision Association"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6bfo5625nvdfvbgyf7ldi5wmfe" style="color: black;">Procedings of the British Machine Vision Conference 2007</a> </i> &nbsp;
As the object moves, we develop a tracking algorithm that adaptively changes the colour space model (CSM) according to measures of similarity between object and background.  ...  We describe algorithms for active segmentation (AS) of the first frame, and subsequent, adaptive object tracking through succeeding frames, in a video sequence.  ...  Second, we have developed an adaptive object tracking algorithm that combines AS and a mean shift tracking. The tracking algorithm has two phases.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5244/c.21.85">doi:10.5244/c.21.85</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/bmvc/ChenW07.html">dblp:conf/bmvc/ChenW07</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/r4pz6fr6uzc2foo356lf6uliii">fatcat:r4pz6fr6uzc2foo356lf6uliii</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20110401070822/http://www.eece.hw.ac.uk/research/visp/downloads/Wallace_ActiveSegmentationAndAdaptiveTrackingUsingLevelSets.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/6b/4a/6b4a77a708d2dff416abc654188a058a6c9c959b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5244/c.21.85"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Adaptive Colour Feature Identification in Image for Object Tracking

Feng Su, Gu Fang, Ngai Ming Kwok
<span title="">2012</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wpareqynwbgqdfodcyhh36aqaq" style="color: black;">Mathematical Problems in Engineering</a> </i> &nbsp;
In this paper, an adaptive colour filtering method is introduced for identifying and tracking a moving object appearing in image sequences.  ...  Experimental results show that by using a camera mounted on a robot, the proposed methods can perform robustly in tracking a randomly moving object using adaptively selected colour features in a crowded  ...  There have also been many revised and improved methods based on GMM. One of them is the Improved Adaptive Gaussian Mixture Model AGMM 14 .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2012/509597">doi:10.1155/2012/509597</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/skcamdda2ngphktqxmmmcyniim">fatcat:skcamdda2ngphktqxmmmcyniim</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180725153333/http://downloads.hindawi.com/journals/mpe/2012/509597.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/d8/1c/d81ccc824939acc8ef661bf11edfc0f73e6f14b6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2012/509597"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a>

Robust Fusion of Colour Appearance Models for Object Tracking

C. Town, S. Moran
<span title="">2004</span> <i title="British Machine Vision Association"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6bfo5625nvdfvbgyf7ldi5wmfe" style="color: black;">Procedings of the British Machine Vision Conference 2004</a> </i> &nbsp;
Short-term variation in object colour is modelled non-parametrically using adaptive binning histograms.  ...  It is shown how robust estimation and adaptation of the models both individually and in combination results in improved visual tracking accuracy.  ...  [5] used Gaussian mixture models (GMM) to model the colour distribution of an object in order to perform tasks such as real-time tracking and segmentation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5244/c.18.70">doi:10.5244/c.18.70</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/bmvc/TownM04.html">dblp:conf/bmvc/TownM04</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pzhj5zqajvhxtlq2f5iy36cs2q">fatcat:pzhj5zqajvhxtlq2f5iy36cs2q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170706072806/http://www.bmva.org/bmvc/2004/papers/paper_214.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/a7/44/a74484c0dce492543860896bbb7bc83803a0811c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5244/c.18.70"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Tracking colour objects using adaptive mixture models

Stephen J. McKenna, Yogesh Raja, Shaogang Gong
<span title="">1999</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/z7tk7kanxjcz7hgk77ae6t3ofy" style="color: black;">Image and Vision Computing</a> </i> &nbsp;
The use of adaptive Gaussian mixtures to model the colour distributions of objects is described.  ...  These models are used to perform robust, real-time tracking under varying illumination, viewing geometry and camera parameters.  ...  These are determined off-line using an ¥ iterative algorithm. Once an object is being tracked, the model adapts and improves tracking performance by becom ing specific to the observed conditions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/s0262-8856(98)00104-8">doi:10.1016/s0262-8856(98)00104-8</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gdacjgg3qrgd7elsqzgs2dfsee">fatcat:gdacjgg3qrgd7elsqzgs2dfsee</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170810124432/https://www.cse.unr.edu/~bebis/CS479/Readings/gong.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/ca/d0/cad09eae64302e3bf89ce20b476374de3b56a607.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/s0262-8856(98)00104-8"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Performance Evaluation of Crowd Analysis Algorithm using Modified GMM and Adaptive Thresholding

Navneet S. Ghedia, C. H. Vithalani, Ashish Kothari
<span title="2017-05-01">2017</span> <i title="Indian Society for Education and Environment"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wffwpj3q45g5zfjzfeyagk5uea" style="color: black;">Indian Journal of Science and Technology</a> </i> &nbsp;
Our proposed method also shows significant improvements in Multi Object Detection and in Tracking Accuracy.  ...  Method: We have proposed a modified Gaussian mixture model using adaptive thresholding. The proposed approach is implemented in MATLAB.  ...  In 11 they have designed an improved algorithm to adaptively adjust the parameters and number of components of GMM.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17485/ijst/2017/v10i17/111960">doi:10.17485/ijst/2017/v10i17/111960</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/doq2owlpw5dhznv5kkocjhajim">fatcat:doq2owlpw5dhznv5kkocjhajim</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170616003146/http://indjst.org/index.php/indjst/article/download/111960/80035" 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] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17485/ijst/2017/v10i17/111960"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Towards Improved Observation Models for Visual Tracking: Selective Adaptation [chapter]

Jaco Vermaak, Patrick Pérez, Michel Gangnet, Andrew Blake
<span title="">2002</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;
An important issue in tracking is how to incorporate an appropriate degree of adaptivity into the observation model.  ...  Without any adaptivity, tracking fails when object properties change, for example when illumination changes affect surface colour.  ...  Colour Model Adaptation Recall from Section 2.3 that the parameters of the foreground colour likelihood are initialised using a set of labelled face images.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/3-540-47969-4_43">doi:10.1007/3-540-47969-4_43</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2hqo2beekvhwvd7trcz2mytcaa">fatcat:2hqo2beekvhwvd7trcz2mytcaa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20061208193051/http://www.irisa.fr/vista/Papers/2002_eccv_vermaak.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/a9/d7/a9d7b0a033df2c257e37f4f10fe9b23342125a1c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/3-540-47969-4_43"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Sequential Monte Carlo tracking by fusing multiple cues in video sequences

Paul Brasnett, Lyudmila Mihaylova, David Bull, Nishan Canagarajah
<span title="">2007</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/z7tk7kanxjcz7hgk77ae6t3ofy" style="color: black;">Image and Vision Computing</a> </i> &nbsp;
This paper presents visual cues for object tracking in video sequences using particle filtering. A consistent histogram-based framework is developed for the analysis of colour, edge and texture cues.  ...  A particle filter (PF) is designed for object tracking based on multiple cues with adaptive parameters.  ...  Adaptive colour and texture segmentation for tracking moving objects is proposed in [11] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.imavis.2006.07.017">doi:10.1016/j.imavis.2006.07.017</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/c5eyu6arl5eqvofrne5dd5no2u">fatcat:c5eyu6arl5eqvofrne5dd5no2u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171208011954/https://core.ac.uk/download/pdf/71506.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/b0/40/b040b71d087bf4dfbf5978ebf55c360f5462ca5b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.imavis.2006.07.017"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Tracking Objects Across Cameras by Incrementally Learning Inter-camera Colour Calibration and Patterns of Activity [chapter]

Andrew Gilbert, Richard Bowden
<span title="">2006</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;
These operate in parallel and are then used with an appearance model of the object to track across spatially separated cameras.  ...  Unlike other approaches this technique uses an incremental learning method, to model both the colour variations and posterior probability distributions of spatio-temporal links between cameras.  ...  Acknowledgements This work is supported by an EPSRC/Imaging Faraday partnership industrial CASE award sponsored by Overview Ltd.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11744047_10">doi:10.1007/11744047_10</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2xj4t2mkg5cgzooj3nj7ulgunm">fatcat:2xj4t2mkg5cgzooj3nj7ulgunm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170926071839/https://core.ac.uk/download/pdf/8767613.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/26/18/26185d1f0135fb43fb4d7dab863fd83c8f3099bd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11744047_10"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

An Adaptive Bayesian Technique for Tracking Multiple Objects [chapter]

Pankaj Kumar, Michael J. Brooks, Anton van den Hengel
<span title="">2007</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;
Many algorithms have been developed for tracking an object in controlled environments.  ...  The object model for computing the likelihood function is incrementally updated and uses background-foreground segmentation information to ameliorate the problem of drift associated with object model update  ...  [3] proposed an adaptive probabilistic real time tracker that updates the model using an incremental update of a so-called eigenbasis.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-77046-6_81">doi:10.1007/978-3-540-77046-6_81</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/u4wvtfd6zzcnzp5hgr3uq5pfea">fatcat:u4wvtfd6zzcnzp5hgr3uq5pfea</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20091021232017/http://www.cs.adelaide.edu.au/users/hengel/Vision/Papers/ICPRMI07.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/1e/ef1edc9650b819ae165962bbfd7a84ff8075a208.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-77046-6_81"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

PERFORMANCE METRICS IN VIDEO SURVEILLANCE SYSTEM

AZHAR, A. A. SHAFIE, M. M. RASHID
<span title="">2013</span> <i title="Taylor&#39;s University"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3vxazte2xfh4vfhg6itjiodlsq" style="color: black;">Journal of Engineering Science and Technology</a> </i> &nbsp;
Video surveillance is an active research topic in computer vision.  ...  This survey reviews the recent developments in moving object detection and also different techniques and approaches in multiple objects tracking that have been developed by researchers.  ...  So, the adaptive colour model for each target using colour-histogram statistical characteristics is modelled.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://doaj.org/article/ccb4ac08b96c4af8aa059b8424a1ae0e">doaj:ccb4ac08b96c4af8aa059b8424a1ae0e</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lbpubq7zmrck5mwtxumumeicxy">fatcat:lbpubq7zmrck5mwtxumumeicxy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171202052102/http://jestec.taylors.edu.my/Vol%208%20Issue%202%20April%2013/Volume%20(8)%20Issue%20(2)%20199-216.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/aa/56/aa56a9dbcec416f8f0f4dd9f5124fa281920644b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a>

Incremental Modelling of the Posterior Distribution of Objects for Inter and Intra Camera Tracking

A. Gilbert, R. Bowden
<span title="">2005</span> <i title="British Machine Vision Association"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6bfo5625nvdfvbgyf7ldi5wmfe" style="color: black;">Procedings of the British Machine Vision Conference 2005</a> </i> &nbsp;
This can then be used with an appearance model of the object to track across cameras. It requires no calibration or batch preprocessing and becomes more accurate over time as evidence is accumulated.  ...  Unlike other approaches this technique uses an incremental learning method to create the spatio-temporal links between cameras, and thus model the posterior probability distribution of these links.  ...  Acknowledgements This work is supported by an EPSRC/Imaging Faraday partnership industrial CASE award sponsored by Overview Ltd.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5244/c.19.39">doi:10.5244/c.19.39</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/bmvc/GilbertB05.html">dblp:conf/bmvc/GilbertB05</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xn3qefrwk5eebjt6jmfith5ucy">fatcat:xn3qefrwk5eebjt6jmfith5ucy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20081031231000/http://personal.ee.surrey.ac.uk/Personal/R.Bowden/publications/bmvc05/gilbertBowden_BMVC2005.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/52/a4/52a4c4103d5d7d099fec6e34be8e87c26f60b924.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5244/c.19.39"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Improvement of the Fail-Safe Characteristics in Motion Analysis Using Adaptive Technique [chapter]

Ayoub Al-Hamadi, Ruediger Mecke, Bernd Michaelis
<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;
In this paper, we propose an adaptive technique for the automatic extraction and tracking of moving objects in video sequences that works robustly under the influence of image-specific disturbances (e.g  ...  For this technique, we apply the colour information, a neural recognition system and a recursive filtering algorithm to the improvement of the matching quality when disturbances occur.  ...  Because the BM for the displacement calculation under the influence of disturbance situations is quite sensitive, the use of an adaptive colour space during the tracking of the objects was suggested.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-24586-5_12">doi:10.1007/978-3-540-24586-5_12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/z6etjloewjbithqkrczny5hdzm">fatcat:z6etjloewjbithqkrczny5hdzm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20181030085314/https://link.springer.com/content/pdf/10.1007%2F978-3-540-24586-5_12.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/d1/0d/d10d105657ea63a352750c88616ae039a41ebf26.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-24586-5_12"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Object Tracking with an Evolutionary Particle Filter Based on Self-Adaptive Multi-Features Fusion

Zhang Xiaowei, Liu Hong, Sun Xiaohong
<span title="">2013</span> <i title="SAGE Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dlo33cxbtffljkmrdnlsbqmlcq" style="color: black;">International Journal of Advanced Robotic Systems</a> </i> &nbsp;
To solve the problems of particle degeneration and sample impoverishment in a particle filter tracking algorithm, an improved object tracking algorithm is proposed, which combines a multi-feature fusion  ...  Particle filter algorithms are widely used for object tracking in video sequences, but the standard particle filter algorithm cannot solve the validity of particles ideally.  ...  Therefore, in order to reduce the effect of light intensity for tracking, we use HSV colour space to establish a colour model, which does not take into account the brightness component of V.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/54869">doi:10.5772/54869</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yjrubpjwzreu5cdo57ludqwsmy">fatcat:yjrubpjwzreu5cdo57ludqwsmy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170812225805/http://cdn.intechopen.com/pdfs-wm/42224.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/e7/bc/e7bca6ce84c596d038f110389418081690b17a6c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/54869"> <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>
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