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» Detecting and Tracking Human Faces in Videos
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MICAI
2000
Springer
13 years 11 months ago
Detection and Tracking of Facial Features in Video Sequences
This work presents a real time system for detection and tracking of facial features in video sequences. Such system may be used in visual communication applications, such as teleco...
Rogério Schmidt Feris, Teófilo Em&ia...
ICMCS
2005
IEEE
113views Multimedia» more  ICMCS 2005»
14 years 1 months ago
HMM-Based Deception Recognition from Visual Cues
Behavioral indicators of deception and behavioral state are extremely difficult for humans to analyze. This research effort attempts to leverage automated systems to augment human...
Gabriel Tsechpenakis, Dimitris N. Metaxas, Mark Ad...
ECCV
2006
Springer
13 years 11 months ago
Human Pose Tracking Using Multi-level Structured Models
Tracking body poses of multiple persons in monocular video is a challenging problem due to the high dimensionality of the state space and issues such as inter-occlusion of the pers...
Mun Wai Lee, Ramakant Nevatia
FGR
2008
IEEE
264views Biometrics» more  FGR 2008»
13 years 9 months ago
Large scale learning and recognition of faces in web videos
The phenomenal growth of video on the web and the increasing sparseness of meta information associated with it forces us to look for signals from the video content for search/info...
Ming Zhao 0003, Jay Yagnik, Hartwig Adam, David Ba...
ICPR
2006
IEEE
14 years 8 months ago
Tracking a Variable Number of Human Groups in Video Using Probability Hypothesis Density
We apply a multi-target recursive Bayes filter, the Probability Hypothesis Density (PHD) filter, to a visual tracking problem: tracking a variable number of human groups in video....
Ya-Dong Wang, Jian-Kang Wu, Ashraf A. Kassim, Weim...