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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...
CVPR
2005
IEEE
14 years 9 months ago
Tracking Multiple Mouse Contours (without Too Many Samples)
We present a particle filtering algorithm for robustly tracking the contours of multiple deformable objects through severe occlusions. Our algorithm combines a multiple blob track...
Kristin Branson, Serge Belongie
WCE
2007
13 years 8 months ago
Further Improvement of Super-Resolution Reconstruction
— We propose a novel approach to improve further the quality of recovered images from standard super-resolution reconstruction, using Lewitt’s Kaiser-Bessel window functions (b...
Edward Y. T. Ho, Andrew Todd-Pokropek
PSIVT
2007
Springer
239views Multimedia» more  PSIVT 2007»
14 years 1 months ago
People Counting in Low Density Video Sequences
This paper presents a novel approach for automatic people counting in videos captured through a conventional closed-circuit television (CCTV) using computer vision techniques. The ...
Jaime Dalla Valle, Luiz E. Soares de Oliveira, Ale...
CVPR
1997
IEEE
13 years 12 months ago
LAFTER: Lips and Face Real-Time Tracker
This paper describes an active-camera real-time system for tracking, shape description, and classification of the human face and mouth using only an SGI Indy computer. The system...
Nuria Oliver, Alex Pentland, François B&eac...