Online multi-object tracking with efficient track drift and fragmentation handling
- Authors
- Ju, Jaeyong; Kim, Daehun; Ku, Bonhwa; Han, David K.; Ko, Hanseok
- Issue Date
- 1-2월-2017
- Publisher
- OPTICAL SOC AMER
- Citation
- JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, v.34, no.2, pp.280 - 293
- Indexed
- SCIE
SCOPUS
- Journal Title
- JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION
- Volume
- 34
- Number
- 2
- Start Page
- 280
- End Page
- 293
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/84479
- DOI
- 10.1364/JOSAA.34.000280
- ISSN
- 1084-7529
- Abstract
- This paper addresses the problem of multi-object tracking in complex scenes by a single, static, uncalibrated camera. Tracking-by-detection is a widely used approach for multi-object tracking. Challenges still remain in complex scenes, however, when this approach has to deal with occlusions, unreliable detections (e.g., inaccurate position/ size, false positives, or false negatives), and sudden object motion/appearance changes, among other issues. To handle these problems, this paper presents a novel online multi-object tracking method, which can be fully applied to real-time applications. First, an object tracking process based on frame-by-frame association with a novel affinity model and an appearance update that does not rely on online learning is proposed to effectively and rapidly assign detections to tracks. Second, a two-stage drift handling method with novel track confidence is proposed to correct drifting tracks caused by the abrupt motion change of objects under occlusion and prolonged inaccurate detections. In addition, a fragmentation handlingmethod based on a track-to-track association is proposed to solve the problem in which an object trajectory is broken into several tracks due to long-term occlusions. Based on experimental results derived from challenging public data sets, the proposed method delivers an impressive performance compared with other state-of-the-art methods. Furthermore, additional performance analysis demonstrates the effect and usefulness of each component of the proposed method. (C) 2017 Optical Society of America
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