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REaL: Real-time Face Detection and Recognition Using Euclidean Space and Likelihood Estimation [article]

Sandesh Ramesh, Manoj Kumar M V, K Aditya Shastry
2020 arXiv   pre-print
Detecting and recognizing faces accurately has always been a challenge. Differentiating facial features, training images, and producing quick results require a lot of computation.  ...  REaL experiments are carried out on live images and the recognition rates are promising. The system is also successful in removing non-human objects from its calculations.  ...  Research paper titled "Real-time Face Detection on a Configurable Hardware System", discusses a real-time face detection method and its implementation on configurable hardware.  ... 
arXiv:2011.14603v1 fatcat:cb56fxixq5ghppwirhp2fl2qve

Guest Editorial: Human–Computer Interaction: Real-Time Vision Aspects of Natural User Interfaces

Zoran Živković, Nicu Sebe, Hamid Aghajan, Branislav Kisačanin
2012 International Journal of Computer Vision  
We would like to express our sincere gratitude to all of the authors for their work and patience with the review process, to the reviewers for their valuable comments and feedback, and to the editorial  ...  frames that must be viewed before the action can be recognized. • In their paper "Random forests for real time 3D face analysis," G.  ...  The proposed approach uses Euclidean distances between segmented 3D point clouds to assign likelihood scores to hypothetical human body poses.  ... 
doi:10.1007/s11263-012-0603-y fatcat:rlcel2bdjba3tnwjigiccwvptu

Real-Time Semantic Clothing Segmentation [chapter]

George. A. Cushen, Mark. S. Nixon
2012 Lecture Notes in Computer Science  
We initialise points on the upper body clothing by body fiducials rather than by applying distance metrics to a detected face. This helps prevent segmentation of the skin rather than clothing.  ...  We take advantage of hue and intensity histograms incorporating spatial priors to develop an efficient segmentation method.  ...  As a result of these studies, spatial priors are defined as 5 times the detected face height and 4.5 times the face width and positioned as follows: crop(I) = Rect(Point(F x − 1.75F width , F y + 0.75F  ... 
doi:10.1007/978-3-642-33179-4_27 fatcat:yahop32s3reuxgg2g5vukiv4fu

Matching-range-constrained real-time loop closure detection with CNNs features

Dongdong Bai, Chaoqun Wang, Bo Zhangt, Xiaodong Yi, Yuhua Tang
2016 2016 IEEE International Conference on Real-time Computing and Robotics (RCAR)  
improve the real-time performance using an efficient feature compression method. which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the  ...  Secondly, real-time performance is one of the most critical demands for robots. In this paper, we focus on making use of the feature generated by CNNs layers to implement LCD in real environment.  ...  "Real-time large-scale visual loop closure detection" section shows algorithm and experiment results on the compression algorithm to realize real-time LCD.  ... 
doi:10.1109/rcar.2016.7784003 dblp:conf/rcar/BaiWZYT16 fatcat:e3k4y6qusjc6ngfwkvfvw464eu

A sparse probabilistic learning algorithm for real-time tracking

Williams, Blake, Cipolla
2003 Proceedings Ninth IEEE International Conference on Computer Vision  
The approach is demonstrated in real-time face and vehicle tracking systems. The 'sparsity' of the RVMs means that only a fraction of CPU time is required to track at frame rate.  ...  A classification SVM is used in tandem, for object verification, and this provides the capability of automatic initialization and recovery.  ...  We have demonstrated real time operation with a face-tracking camera-management system for teleconferencing.  ... 
doi:10.1109/iccv.2003.1238366 dblp:conf/iccv/WilliamsBC03 fatcat:5pyytcj6rjgg3cha6bnxykfez4

Real-time Multi-Face Recognition and Tracking Techniques Used for the Interaction between Humans and Robots [chapter]

Chin-Shyurng Fahn, Chih-Hsin Wang
2011 Reviews, Refinements and New Ideas in Face Recognition  
Some face detection results from using our real-time face detection system. Face recognition Our face image database comprises 5 subjects to be recognized, and each of them has 20 samples.  ...  We have our robot execute face recognition in real time using the DCV method.  ...  Real-time Multi-Face Recognition and Tracking Techniques Used for the Interaction between Humans and Robots, Reviews, Refinements and New Ideas in Face Recognition, Dr.  ... 
doi:10.5772/19589 fatcat:abebbxq4yjcy3j4aeczpynmskq

Real-Time Vision-Based Korean Finger Spelling Recognition System

Anjin Park, Sungju Yun, Jungwhan Kim, Seungk Min, Keechul Jung
2008 Zenodo  
This paper proposes real-time vision-based Korean finger spelling recognition system by integrating hand extraction into recognition.  ...  Then fill factor and aspect ratio estimated by width and height estimated by CAMShift are used to choose candidate from database, which can reduce the number of matching in recognition step.  ...  CONCLUSION This paper proposed real-time vision-based Korean finger spelling recognition system, and we integrated the hand extraction into recognition.  ... 
doi:10.5281/zenodo.1332355 fatcat:4lxltl5bbnhexlge3khtyc3kgi

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

Mykyta Kovalenko, Svetlana Antoshchuk, Juergen Sieck
2014 2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation  
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.  ...  Finally, a semantic-probabilistic network is introduced, which uses an ontological gesture model and Bayesian network for gesture recognition.  ...  Once the network structure has been trained, parameters can be estimated through a maximum likelihood estimation using the log-likelihood of the training data.  ... 
doi:10.1109/uksim.2014.49 dblp:conf/uksim/KovalenkoAS14 fatcat:f3j2rmnfb5gwjpahtjwh7w46ya

Real-time AdaBoost cascade face tracker based on likelihood map and optical flow

Andreas Ranftl, Fernando Alonso-Fernandez, Stefan Karlsson, Josef Bigun
2017 IET Biometrics  
Viola-Jones was chosen for this work as it is the most well known and widely used approach to static face detection today, and it is able to work in real time [26] .  ...  Likelihood Map Interpolation by Optical Flow We use the Farnebäck dense flow method [70] , which is suitable for real-time applications and exists as ready-to-use function in OpenCV.  ... 
doi:10.1049/iet-bmt.2016.0202 fatcat:6q7dkrm5jvehba7rzyjdleimzy

Object Detection in Real Images [article]

Dilip K. Prasad
2013 arXiv   pre-print
Since these problems are meta-heuristic, despite a lot of research, practically usable, intelligent, real-time, and dynamic object detection/recognition methods are still unavailable.  ...  Object detection and recognition are important problems in computer vision.  ...  I am also sincerely thankful for his patience and enthusiastic guidance. Without him, the project would not be in the state it is today. I also thank the Nanyang Technological  ... 
arXiv:1302.5189v1 fatcat:qdjqvh44qra6lemyu7nzpsldfa

Implementation of Real Time Dress-up System based on Image Blending

Md. ZahangirAlom, Farazul Haque Bhuiyan, Hyo Jong Lee
2013 International Journal of Computer Applications  
In this paper the real time virtual dress-up system has been proposed.  ...  Haar classifier is applied for detecting face from input frames and geometrical information is used to extract different parts (like a face, a torso, and hands) of a body according to the face position  ...  Dress color recognition This paper has discussed on real time automatic dress color recognition for shirt, pants and cap.  ... 
doi:10.5120/13074-8615 fatcat:6aahzjodyvfbjgnycelpinjday

Real time motion capture using a single time-of-flight camera

Varun Ganapathi, Christian Plagemann, Daphne Koller, Sebastian Thrun
2010 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition  
As fast movements and occlusion can disrupt the local search, we utilize a set of discriminatively trained patch classifiers to detect body parts.  ...  We provide extensive experimental results on 28 real-world sequences using automatic ground-truth annotations from a commercial motion capture system.  ...  This work was supported by NSF (ISS 0917151), MURI (N000140710747), and the Boeing company.  ... 
doi:10.1109/cvpr.2010.5540141 dblp:conf/cvpr/GanapathiPKT10 fatcat:mqqf6xugffagbdqpi3pznzeicq

Matching-range-constrained real-time loop closure detection with CNNs features

Dongdong Bai, Chaoqun Wang, Bo Zhang, Xiaodong Yi, Yuhua Tang
2016 Robotics and Biomimetics  
improve the real-time performance using an efficient feature compression method. which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the  ...  Secondly, real-time performance is one of the most critical demands for robots. In this paper, we focus on making use of the feature generated by CNNs layers to implement LCD in real environment.  ...  "Real-time large-scale visual loop closure detection" section shows algorithm and experiment results on the compression algorithm to realize real-time LCD.  ... 
doi:10.1186/s40638-016-0047-x pmid:27730029 pmcid:PMC5028405 fatcat:g56dwx7syjc7xly3myhfnbaixm

Real-Time Audio-Visual Analysis for Multiperson Videoconferencing

Petr Motlicek, Stefan Duffner, Danil Korchagin, Hervé Bourlard, Carl Scheffler, Jean-Marc Odobez, Giovanni Del Galdo, Markus Kallinger, Oliver Thiergart
2013 Advances in Multimedia  
They comprise continuous localisation of audio objects and its application for spatial audio object coding, detection, and tracking of faces, estimation of head poses and visual focus of attention, detection  ...  We describe the design of a system consisting of several state-of-the-art real-time audio and video processing components enabling multimodal stream manipulation (e.g., automatic online editing for multiparty  ...  We use a multiobject state space formulation, with the global state defined as = { , } =1⋅⋅⋅ , where is the number of visible faces at time .  ... 
doi:10.1155/2013/175745 fatcat:izfdlmjwxrdxxjmys3bhmovbdy

Cloud-Vision: Real-time face recognition using a mobile-cloudlet-cloud acceleration architecture

Tolga Soyata, Rajani Muraleedharan, Colin Funai, Minseok Kwon, Wendi Heinzelman
2012 2012 IEEE Symposium on Computers and Communications (ISCC)  
Our experimental results demonstrate that highpowered cloudlets are technically feasible and indeed help reduce overall processing time when face recognition applications run on mobile devices using the  ...  This paper discusses our work with the design and implementation of face recognition applications using our mobile-cloudlet-cloud architecture named MOCHA and its initial performance results.  ...  our application of interest, real-time face recognition.  ... 
doi:10.1109/iscc.2012.6249269 dblp:conf/iscc/SoyataMFKH12 fatcat:lpxwhtlqmrh3nhmqwnikuxnjuq
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