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Journal of Electronic Imaging

Real-time scale-adaptive correlation filters tracker with depth information to handle occlusion
Author(s): Jiatian Pi; Yuzhang Gu; Keli Hu; Xiaoliu Cheng; Yunlong Zhan; Yingguan Wang
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Paper Abstract

In visual object tracking, occlusions significantly undermine the performance of tracking algorithms. RGB-D cameras, such as Microsoft Kinect or the related PrimeSense camera, are widely available to consumers. Great attention has been focused on exploiting depth information for object tracking in recent years. We propose an algorithm that improves the existing correlation filter-based tracker for scale-adaptive tracking. Moreover, we utilize depth information provided by the Kinect camera to handle various types of occlusions. First, the optimal location of the target is obtained by the conventional kernelized correlation filter tracker. Then, we make use of the discriminative correlation filter for scale estimation as an independent part. At last, to further improve the tracking performance under occlusions, we present a simple yet effective occlusion handling mechanism to detect occlusion and recovery. In this mechanism, cluster analysis and object segmentation by K-means method have been applied to depth data. Numerous experiments on Princeton RGB-D tracking dataset demonstrate that the proposed algorithm outperforms several state-of-the-art trackers by successfully dealing with occlusions.

Paper Details

Date Published: 8 August 2016
PDF: 11 pages
J. Electron. Imaging. 25(4) 043022 doi: 10.1117/1.JEI.25.4.043022
Published in: Journal of Electronic Imaging Volume 25, Issue 4
Show Author Affiliations
Jiatian Pi, Shanghai Institute of Microsystem and Information Technology (China)
Yuzhang Gu, Shanghai Institute of Microsystem and Information Technology (China)
Keli Hu, Shaoxing Univ. (China)
Xiaoliu Cheng, Shanghai Institute of Microsystem and Information Technology (China)
Yunlong Zhan, Shanghai Institute of Microsystem and Information Technology (China)
Yingguan Wang, Shanghai Institute of Microsystem and Information Technology (China)


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