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28 October 2011 A target mask matrix based moving object tracking method
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Proceedings Volume 8205, 2011 International Conference on Photonics, 3D-Imaging, and Visualization; 82051E (2011) https://doi.org/10.1117/12.906103
Event: 2011 International Conference on Photonics, 3D-imaging, and Visualization, 2011, Guangzhou, China
Abstract
The tracking window used by object tracking method based on mean shift algorithm is usually regular in shape. Thus, it is inevitable to introduce some background information into object model. This problem becomes worse while the moving object is irregular in shape. Aiming at this problem, this paper proposes an improved mean shift algorithm based on target mask matrix (MSTMM). TMM is acquired through background subtraction. On the basis, a new method for building object model is proposed. Experiment results show that MSTMM algorithm succeeds in excluding the background information from object model, and the accuracy of moving object localization is improved.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yong Zhou and Yi Li "A target mask matrix based moving object tracking method", Proc. SPIE 8205, 2011 International Conference on Photonics, 3D-Imaging, and Visualization, 82051E (28 October 2011); https://doi.org/10.1117/12.906103
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