Measuring the Effects of Occlusion on Kernel Based Object Tracking Using Simulated Videos

Measuring the Effects of Occlusion on Kernel Based Object Tracking Using Simulated Videos

Occlusion handling is one of the most studied problems for object tracking in computer vision. Many previous works claimed that occlusion can be handled effectively using Kalman filter, Particle filter and Mean Shift tracking methods. However, these methods were only tested on specific task videos...

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Bibliographic Details
Main Authors: Beng, Yong Lee, Lee, Hung Liew, WaiShiang, Cheah, Yin, Chai Wang
Format: Article
Language:English
Published: Elsevier 2012
Subjects:
T Technology (General)
Online Access:http://ir.unimas.my/id/eprint/17380/
http://ir.unimas.my/id/eprint/17380/1/Measuring%20the%20Effects%20of%20Occlusion%20on%20Kernel%20Based%20Object%20Tracking%20%28abstract%29.pdf

Internet

http://ir.unimas.my/id/eprint/17380/
http://ir.unimas.my/id/eprint/17380/1/Measuring%20the%20Effects%20of%20Occlusion%20on%20Kernel%20Based%20Object%20Tracking%20%28abstract%29.pdf

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