Cheng Xu
Hubei University of Technology

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Robust Tracking Based on Failure Recovery Daode Zhang; Cheng Xu; Yuanzhong Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Object tracking is a issue in the domain of computer visual, most of current state-of-art approaches for visual tracking adapt tracking-by-detection, using detection to address tracking problem. While suitable for cases when the object is always in the sense and these algorithms always results in failures and can’t track back after failure. This paper we propose a tracking method based on failure recovery. After we choose an object to tracking in the first frame, the object is tracked by improved optical flow method forward and backward in time then compute the distance between these two trajectories. While the distance larger then threshold tracking likely to fail, but the latest object model return by detector will re-initialize the tracker. Tracking an object on camera video approve our approach can work at 20fps with long-time robustness. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.4214