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ICVS
2003
Springer
15 years 7 months ago
Recurrent Bayesian Network for the Recognition of Human Behaviors from Video
Abstract. We propose an original bayesian approach to recognize human behaviors from video streams. Mobile objects and their visual features are computed by a vision module. Then, ...
Nicolas Moënne-Loccoz, François Br&eac...
135
Voted
IVC
2006
248views more  IVC 2006»
15 years 2 months ago
Appearance models for occlusion handling
Objects in the world exhibit complex interactions. When captured in a video sequence, some interactions manifest themselves as occlusions. A visual tracking system must be able to...
Andrew W. Senior, Arun Hampapur, Ying-li Tian, Lis...
133
Voted
MVA
1996
168views Computer Vision» more  MVA 1996»
15 years 3 months ago
Real-time Tracking with Kalman Filter
automatically updated during the matching process, This paper describes a real-time tracking system which detects an object entering into the field of view of camera and executes t...
Dae-Sik Jang, Hyung-Il Choi, Gye-Young Kim
123
Voted
ICPR
2008
IEEE
15 years 9 months ago
Real-time 3D tracking using multiple sample points
In this paper, we propose a method for robust and realtime estimation of 3D motion. In our method, we use multiple sample points that are on an object before and after moving. Poi...
Akihito Seki, Hiroshi Hattori
130
Voted
ICCV
1998
IEEE
16 years 4 months ago
Wormholes in Shape Space: Tracking Through Discontinuous Changes in Shape
Existing object tracking algorithms generally use some form of local optimisation, assuming that an object's position and shape change smoothly over time. In some situations ...
Tony Heap, David Hogg