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

• 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/17380/1/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

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...