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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Main Authors: Beng, Yong Lee, Lee, Hung Liew, WaiShiang, Cheah, Yin, Chai Wang
格式: Article
語言:English
出版: Elsevier 2012
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在線閱讀:http://ir.unimas.my/id/eprint/17380/1/Measuring%20the%20Effects%20of%20Occlusion%20on%20Kernel%20Based%20Object%20Tracking%20%28abstract%29.pdf
http://ir.unimas.my/id/eprint/17380/
http://www.sciencedirect.com/science/article/pii/S1877705812026410
https://doi.org/10.1016/j.proeng.2012.07.241
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