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» Robust Occlusion Handling in Object Tracking
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MMM
2007
Springer
110views Multimedia» more  MMM 2007»
14 years 1 months ago
An Object Tracking Scheme Based on Local Density
We propose a method for tracking an object from a video sequence of moving background through the use of the proximate distribution densities of the local regions. The discriminati...
Zhuan Qing Huang, Zhuhan Jiang
ICASSP
2011
IEEE
12 years 11 months ago
Adaptive appearance learning for visual object tracking
This paper addresses online learning of reference object distribution in the context of two hybrid tracking schemes that combine the mean shift with local point feature correspond...
Zulfiqar Hassan Khan, Irene Yu-Hua Gu
CVPR
2010
IEEE
13 years 10 months ago
Real-time Tracking of Multiple Occluding Objects using Level Sets
We derive a probabilistic framework for robust, realtime, visual tracking of multiple previously unseen objects from a moving camera. This framework models the discrete depth orde...
Charles Bibby, Ian Reid
CVPR
1998
IEEE
14 years 9 months ago
Joint Probabilistic Techniques for Tracking Multi-Part Objects
Common objects such as people and cars comprise many visual parts and attributes, yet image-based tracking algorithms are often keyed to only one of a target's identifying ch...
Christopher Rasmussen, Gregory D. Hager
MVA
2008
125views Computer Vision» more  MVA 2008»
13 years 7 months ago
Pearson-based mixture model for color object tracking
To track objects in video sequences, many studies have been done to characterize the target with respect to its color distribution. Most often, the Gaussian Mixture Model (GMM) is ...
William Ketchantang, Stéphane Derrode, Lion...