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- W32329486 abstract "Non-overlapping multi-camera visual object tracking typically consists of two steps: single camera object tracking and inter-camera object tracking. Most of tracking methods focus on single camera object tracking, which happens in the same scene, while for real surveillance scenes, inter-camera object tracking is needed and single camera tracking methods can not work effectively. In this paper, we try to improve the overall multi-camera object tracking performance by a global graph model with an improved similarity metric. Our method treats the similarities of single camera tracking and inter-camera tracking differently and obtains the optimization in a global graph model. The results show that our method can work better even in the condition of poor single camera object tracking." @default.
- W32329486 created "2016-06-24" @default.
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- W32329486 date "2015-02-11" @default.
- W32329486 modified "2023-09-26" @default.
- W32329486 title "An equalised global graphical model-based approach for multi-camera object tracking" @default.
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- W32329486 doi "https://doi.org/10.48550/arxiv.1502.03532" @default.
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