Robust visual tracking base on adaptively multi-feature fusion and particle filter |
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Authors: | Jian-fang Dou Jian-xun Li |
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Institution: | Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240, China |
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Abstract: | In order to avoid the tracking failure based on single feature under the conditions of cluttered backgrounds illumination changes, a robust tracking algorithm was proposed based on adaptively multi-feature fusion and particle filter. Color histogram was used to describe the overall distribution characteristics of the target and histogram of oriented gradients containing some construction information and LBP is very effective to describe the image texture features. The Three features were fused in the frame of particle filter. Meanwhile, the weights of each feature were adjusted dynamically. The experimental results show that with adaptive fusion, the tracker becomes more robust to illumination changes, pose variations, partial occlusions, cluttered backgrounds and camera motion. |
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Keywords: | Particle filter Visual tracking LBP Partial occlusions Adaptively fusion |
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