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所属单位:航天学院
发表刊物:JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY
关键字:VISUAL TRACKING BENCHMARK
摘要:In this article, a real-time object tracking method based on perceptual hashing called MHash is put forward. In order to enhance the robustness of noise and the apparent change, hash down-sampling is employed to ignore the image aspect ratio and gain low frequency information. Solving the problem of partial illumination change and occlusion, fragment-hash tracking is proposed. Overcoming the limitation of global illumination change, the mean-compared method is used. Also, integral image is applied to accelerate the calculation of the mean and confidence map to filter matching noise for the maximum inhibition. Experimental results show that MHash algorithm has very strong robustness especially for partial occlusion and illumination change, and achieves accurate tracking in a variety of sequences. The average tracking speed reaches 52.12 fps that shows high speed. (C) 2017 Society for Imaging Science and Technology.
ISSN号:1062-3701
是否译文:否
发表时间:2017-11-01
合写作者:Wang, Shunfei,Wang, Zhigang,Qi, Shengxiang
通讯作者:闫钧华