12 May 2016 Fast tracking based on local histogram of oriented gradient and dual detection
Author Affiliations +
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.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Huan Shi, Huan Shi, Kai , Kai , Fei Cheng, Fei Cheng, Wenwen Ding, Wenwen Ding, Baijian Zhang, Baijian Zhang, } "Fast tracking based on local histogram of oriented gradient and dual detection", Proc. SPIE 9844, Automatic Target Recognition XXVI, 98440Q (12 May 2016); doi: 10.1117/12.2223625; https://doi.org/10.1117/12.2223625

Back to Top