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Proceedings Paper

Fast tracking based on local histogram of oriented gradient and dual detection
Author(s): Huan Shi; Kai; Fei Cheng; Wenwen Ding; Baijian Zhang
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Paper Abstract

Visual tracking is important in computer vision. At present, although many algorithms of visual tracking have been proposed, there are still many problems which are needed to be solved, such as occlusion and frame speed. To solve these problems, this paper proposes a novel method which based on compressive tracking. Firstly, we make sure the occlusion happens if the testing result about image features by the classifiers is lower than a threshold value which is certain. Secondly, we mark the occluded image and record the occlusion region. In the next frame, we test both the classifier and the marked image. This algorithm makes sure the tracking is fast, and the result about solving occlusion is much better than other algorithms, especially compressive tracking.

Paper Details

Date Published: 12 May 2016
PDF: 5 pages
Proc. SPIE 9844, Automatic Target Recognition XXVI, 98440Q (12 May 2016); doi: 10.1117/12.2223625
Show Author Affiliations
Huan Shi, Xidian Univ (China)
Kai, Xidian Univ. (China)
Fei Cheng, Xidian Univ (China)
Wenwen Ding, Xidian Univ. (China)
Baijian Zhang, Xidian Univ. (China)

Published in SPIE Proceedings Vol. 9844:
Automatic Target Recognition XXVI
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)

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