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: | , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2012
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Online Access: | 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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http://ir.unimas.my/id/eprint/17380/1/Measuring%20the%20Effects%20of%20Occlusion%20on%20Kernel%20Based%20Object%20Tracking%20%28abstract%29.pdfhttp://ir.unimas.my/id/eprint/17380/
http://www.sciencedirect.com/science/article/pii/S1877705812026410
https://doi.org/10.1016/j.proeng.2012.07.241