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» Adaptive Bayesian Recognition in Tracking Rigid Objects
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PAMI
2008
235views more  PAMI 2008»
14 years 9 months ago
Dependent Multiple Cue Integration for Robust Tracking
We propose a new technique for fusing multiple cues to robustly segment an object from its background in video sequences that suffer from abrupt changes of both illumination and po...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...
CVPR
2008
IEEE
15 years 11 months ago
Sequential particle swarm optimization for visual tracking
Visual tracking usually involves an optimization process for estimating the motion of an object from measured images in a video sequence. In this paper, a new evolutionary approac...
Xiaoqin Zhang, Weiming Hu, Stephen J. Maybank, Xi ...
ICCV
2001
IEEE
15 years 11 months ago
Multi-Agent Event Recognition
This paper presents a new approachto recognizingmultiagent events observed by a static camera. To track objects robustly, knowledgeabout the groundplaneand the events is used. An ...
Somboon Hongeng, Ramakant Nevatia
110
Voted
CVPR
2000
IEEE
15 years 11 months ago
Representation and Optimal Recognition of Human Activities
Towards the goal of realizing a generic automatichuman activity recognition system, a new formalism is proposed. Activities are described by a chained hierarchical representation ...
François Brémond, Ramakant Nevatia, ...
MVA
2002
226views Computer Vision» more  MVA 2002»
14 years 9 months ago
Adaptive Background Estimation and Shadow Removal in Indoor Scenes
2 Background Model Background subtraction algorithm is susceptible to both global and local illumination changes such as shadows, sunlight and reflection. These changes sometimes c...
Junya Morita, Yoshio Iwai, Masahiko Yachida