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14 February 2020 Anti-occlusion target tracking algorithm based on template filtering
Wangrong Cheng, Chunpu Xu, Jinwen Tian
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Proceedings Volume 11429, MIPPR 2019: Automatic Target Recognition and Navigation; 1142913 (2020) https://doi.org/10.1117/12.2541594
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China
Abstract
This paper proposes an effective anti-occlusion target tracking algorithm based on template filtering.First,The location correlation filters are constructed to determine the target center position. In order to determine the target scale, a scale correlation filter is performed to sample multi-scale images surrounding the target region. Then,Peak-to-Sidelobe Ratio and average peak-to-correlation energy (APCE) are used to determine whether the target is occluded. When the target is occluded, the adaptive updating of the model is stopped.When the target is completely lost, the grid-based motion statistics algorithm is used to re-determine the position of the target.Experimental results demonstrate that our method can achieve a better tracking result than other methods.
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Wangrong Cheng, Chunpu Xu, and Jinwen Tian "Anti-occlusion target tracking algorithm based on template filtering", Proc. SPIE 11429, MIPPR 2019: Automatic Target Recognition and Navigation, 1142913 (14 February 2020); https://doi.org/10.1117/12.2541594
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KEYWORDS
Electronic filtering
Image filtering
Detection and tracking algorithms
Target detection
Optical tracking
Image processing
Sensors
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