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| Block Target Tracking Based on Occlusion Detection and Multi-block Position Information Fusion |
| CHU Jun1,2, WEI Zhen2, MIAO Jun1,3, WANG Lu1,2 |
1. Institute of Computer Vision, Nanchang Hangkong University, Nanchang 330063;
2. College of Software, Nanchang Hangkong University, Nanchang 330063;
3. School of Aeronautical Manufacturing Engineering, Nanchang Hangkong University, Nanchang 330063 |
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Abstract Target tracking cannot effectively determine when the target is occluded and match the template update. Aiming at this problem, a block target tracking algorithm based on occlusion detection and multi-block position information fusion is proposed. Firstly, the target is divided into four blocks, and the four ones are combined with the target as a whole. Since the occlusion has the characteristics of local start and directivity, the ratio of correlation values between each block is calculated to determine whether and where the target is occluded. The update methods are utilized selectively, depending on whether the target is occluded. Finally, the position of the final target is determined according to each unblocked position information. The experiment indicates that the proposed algorithm can effectively determine whether the target is occluded and improve the tracking effect under occlusion.
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Received: 10 July 2019
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| Fund:Supported by National Natural Science Foundation of China(No.61663031,61866028,61661036), Key Research and Development Program of Jiangxi Province(No.20192BBE50073) |
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Corresponding Authors:
CHU Jun, Ph.D., perofessor. Her research interests include image processing and analysis, pattern recognition and computer vision.
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| About author:: WEI Zhen, master student. His research interests include computer vision and machine learning.MIAO Jun, Ph.D., associate professor. His research interests include computer vision, pattern recognition and machine lear-ning.WANG Lu, master, lecturer. Her research interests include image processing, pattern recognition and machine learning. |
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2020, Vol. 33 
