利用二值描述符的实时目标跟踪算法

doi:10.3969/j.issn.1001-2400.2015.05.028

Abstract

Abstract:

Object tracking often has the problems of low rate and high storage. Therefore, a tracking algorithm based on binary descriptors is proposed. The algorithm retains the original construction information on the samples and projects the samples from Euclidean space to Hamming space in order to generate binary descriptors by searching the optimal orthogonal matrix for rotating cluster. Then under the frame of particle filtering, it is necessary to determine the tracking position by computing the hamming distance.Analysis and experiment show that the proposed tracking algorithm performs rapidly and favorably when the target objects undergo large illumination,pose changes and fast movement.

Key words: object tracking, binary descriptors, particle filtering, hamming distance

CLC Number:

TP391

QIN Bing;TIAN Jun;ZHA Yufei;ZHANG Lichao;HUANG Hongtu. Real-time visual object tracking based on binary descriptors[J].J4, 2015, 42(5): 168-174.

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Real-time visual object tracking based on binary descriptors

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