| Citation: | WANG Ronghe, CHEN Yuxiong, MA Shilong, et al. Real-time and robust object tracking method in frequency domain space[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(12): 2457-2465. doi: 10.13700/j.bh.1001-5965.2016.0906(in Chinese)
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This paper addresses real-time and robust object tracking method. In this paper, dense circulation sampling and frequency domain transform method were used in target tracking processing. This paper proposed energy minimization object tracking method in frequency domain space and put forward the concept of dense circulation sampling to solve object shape changes, appearance changes, object orientation changes, scene illumination changes, video jitter, objective scale changes and object occlusion problems in tracking processing. This method calculates a target by ten adjacent frames and circulation matrix in frequency domain space. This algorithm defines error as an energy function. This method proposed frequency domain energy minimum method firstly. Energy minimization make error between target and ground truth minimize. This algorithm can obtain more precision target results rapidly, so data quantity is sharp decreased. This algorithm use the dense circulation sampling and energy minimization method to implement a stable visual tracking in such situation as target orientation deformation, scene illumination changes, video stabilization, target scale transformation, target part occlusion. Compared with the latest and the best performance methods at present, the proposed method has significantly improved the tracking precision and efficiency.
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