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» Occlusion Modeling by Tracking Multiple Objects
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BMVC
1998
15 years 1 months ago
Detection and Tracking of Very Small Low Contrast Objects
We present a Kalman tracking algorithm that can track a number of very small, low contrast objects through an image sequence taken from a static camera. The issues that we have ad...
D. Davies, Phil L. Palmer, Majid Mirmehdi
MVA
2007
179views Computer Vision» more  MVA 2007»
14 years 11 months ago
Multi-object trajectory tracking
The majority of existing tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework using a Hidden Markov Model, where the distribution ...
Mei Han, Wei Xu, Hai Tao, Yihong Gong
CVPR
2007
IEEE
15 years 6 months ago
Multiple Target Tracking Using Spatio-Temporal Markov Chain Monte Carlo Data Association
We propose a framework for general multiple target tracking, where the input is a set of candidate regions in each frame, as obtained from a state of the art background learning, ...
Qian Yu, Gérard G. Medioni, Isaac Cohen
ICRA
2005
IEEE
183views Robotics» more  ICRA 2005»
15 years 5 months ago
Integration of Model-based and Model-free Cues for Visual Object Tracking in 3D
— Vision is one of the most powerful sensory modalities in robotics, allowing operation in dynamic environments. One of our long-term research interests is mobile manipulation, w...
Ville Kyrki, Danica Kragic
ECAI
2004
Springer
15 years 5 months ago
Using Spatio-Temporal Continuity Constraints to Enhance Visual Tracking of Moving Objects
We present a framework for annotating dynamic scenes involving occlusion and other uncertainties. Our system comprises an object tracker, an object classifier and an algorithm for...
Brandon Bennett, Derek R. Magee, Anthony G. Cohn, ...