[1]XIU Chunbo,LI Xin,BA Fushan.Target tracking based on the fuzzy histogram model[J].CAAI Transactions on Intelligent Systems,2019,14(5):939-946.[doi:10.11992/tis.201807033]
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Target tracking based on the fuzzy histogram model
CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
14
Number of periods:
2019 5
Page number:
939-946
Column:
学术论文—机器学习
Public date:
2019-09-05
- Title:
- Target tracking based on the fuzzy histogram model
- Keywords:
- fuzzy histogram; target tracking; illumination variation; hue drift; back-projection; real-time tracking; membership degree; target location
- CLC:
- TP391.4
- DOI:
- 10.11992/tis.201807033
- Abstract:
- To enhance the robustness of the tracking system to the hue drift and illumination variation, a new target model based on the fuzzy histogram is proposed in this paper. First, some fuzzy ranks were defined in the hue domain, and the fuzzy histogram model of the target area is built according to the fuzzy membership degree to reduce the sensibility to the hue thresholds. Then, the probability distribution image of the tracking-scene image based on the back-projection of the fuzzy histogram model was built. Finally, the Camshift tracking method was used to perform target recognition, location, and tracking. The simulation results show that the method has better adaptability to the interference caused by hue drift than conventional methods. Target tracking can still be completed by the method when the target moves in the illumination-varying condition, such as front, side, and back light. The average tracking computation time of a single frame of the method is similar to that of the basic Camshift method. The maximum tracking computation time of a single frame is less than 40 ms, which can satisfy the real-time request of tracking systems such as a television tracking system.
- References:
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1900-01-01