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» Tracking objects in video using motion and appearance models
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ICIP
2002
IEEE
14 years 10 months ago
Template tracking using color invariant pixel features
In our method for tracking objects, appearance features are smoothed by robust and adaptive Kalman filters, one to each pixel, making the method robust against occlusions. While t...
Hieu Tat Nguyen, Arnold W. M. Smeulders
CVPR
2008
IEEE
14 years 3 months ago
Learning a geometry integrated image appearance manifold from a small training set
While low-dimensional image representations have been very popular in computer vision, they suffer from two limitations: (i) they require collecting a large and varied training se...
Yilei Xu, Amit K. Roy Chowdhury
CVPR
2006
IEEE
14 years 11 months ago
Spatial Divide and Conquer with Motion Cues for Tracking through Clutter
Tracking can be considered a two-class classification problem between the foreground object and its surrounding background. Feature selection to better discriminate object from ba...
Zhaozheng Yin, Robert T. Collins
CVPR
2010
IEEE
13 years 7 months ago
Group motion segmentation using a Spatio-Temporal Driving Force Model
We consider the `group motion segmentation' problem and provide a solution for it. The group motion segmentation problem aims at analyzing motion trajectories of multiple obj...
Ruonan Li, Rama Chellappa
ICNSC
2008
IEEE
14 years 3 months ago
A Theoretic Framework for Object Class Tracking
— suppose we have a video, the first half of this video is capturing the images of a sedan and the second half is recording the moving of a truck, can we use the same video track...
Yu Cao, Steve Read, Sachin Raka, Revanth Nandamuri