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CVPR
2009
IEEE
13 years 8 months ago
Learning to associate: HybridBoosted multi-target tracker for crowded scene
We propose a learning-based hierarchical approach of multi-target tracking from a single camera by progressively associating detection responses into longer and longer track fragm...
Yuan Li, Chang Huang, Ram Nevatia
CAIP
2009
Springer
185views Image Analysis» more  CAIP 2009»
13 years 11 months ago
Coarse-to-Fine Tracking of Articulated Objects Using a Hierarchical Spring System
Abstract. Tracking of articulated objects is a challenging task in Computer Vision. A highly target specific model can improve the robustness of the tracking by eliminating or red...
Nicole M. Artner, Adrian Ion, Walter G. Kropatsch
ICPR
2006
IEEE
14 years 6 months ago
Boosted Markov Chain Monte Carlo Data Association for Multiple Target Detection and Tracking
In this paper, we present a probabilistic framework for automatic detection and tracking of objects. We address the data association problem by formulating the visual tracking as ...
Bo Wu, Gérard G. Medioni, Isaac Cohen, Qian...
CVPR
2006
IEEE
13 years 11 months ago
Tracking of Multiple, Partially Occluded Humans based on Static Body Part Detection
Tracking of humans in videos is important for many applications. A major source of difficulty in performing this task is due to inter-human or scene occlusion. We present an appr...
Bo Wu, Ram Nevatia
ICPR
2010
IEEE
13 years 2 months ago
Detection Based Low Frame Rate Human Tracking
Tracking by association of low frame rate detection responses is not trivial, as motion is less continuous and hence ambiguous. The problem becomes more challenging when occlusion ...
Lu Wang, Nelson H. C. Yung