Journal
IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume 29, Issue 1, Pages 90-102Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2020.3006520
Keywords
Target tracking; Fuzzy sets; Fuzzy systems; Visualization; Mathematical model; Fuzzy logic; Correlation; Complex environment; fuzzy detection; OTB100; real time; visual tracking
Funding
- Natural Science Foundation of Hunan Province [2020JJ4434]
- Key Scientific Research Projects of Department of Education of Hunan Province [19A312]
- Hunan Provincial Science & Technology Project Foundation [2018TP1018, 2018RS3065]
- Key Research and Development Plan - Major Scientific and Technological Innovation Projects of Shandong Province [2019JZZY020101]
- National Natural Science Foundation of China [61502254, 61902203]
- Open Project Program of the State Key Lab of CAD&CG under Zhejiang University [A1926]
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This article introduces a target tracking method based on a fuzzy detection strategy to improve tracking performance in complex environments. By pre-judging tracking results and taking corresponding measures, this method can effectively avoid template pollution, thus enhancing tracking robustness.
Today, a new generation of artificial intelligence has brought several new research domains such as computer vision (CV). Thus, target tracking, the base of CV, has been a hotspot research domain. Correlation filter (CF)-based algorithm has been the basis of real-time tracking algorithms because of the high tracking efficiency. However, CF-based algorithms usually failed to track objects in complex environments. Therefore, this article proposes a fuzzy detection strategy to prejudge the tracking result. If the prejudge process determines that the tracking result is not good enough in the current frame, the stored target template is used for following tracking to avoid the template pollution. During testing on the OTB100 dataset, the experimental results show that the proposed auxiliary detection strategy improves the tracking robustness under complex environment by ensuring the tracking speed.
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