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| 论文编号: |
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| 第一作者所在部门: |
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| 中文论文题目: |
An Equalized Global Graph Model-Based Approach for Multicamera Object Tracking
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| 英文论文题目: |
An Equalized Global Graph Model-Based Approach for Multicamera Object Tracking
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| 论文题目英文: |
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| 作者: |
Chen, Weihua
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| 论文出处: |
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| 刊物名称: |
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
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| 年: |
2017
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| 卷: |
27 |
| 期: |
11 |
| 页: |
2367-2381 |
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| 影响因子: |
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| 摘要: |
Nonoverlapping multicamera visual object tracking typically consists of two steps: single-camera object tracking (SCT) and inter-camera object tracking (ICT). Most of tracking methods focus on SCT, which happens in the same scene, while for real surveillance scenes, ICT is needed and single-camera tracking methods cannot work effectively. In this paper, we try to improve the overall multicamera 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 SCT. |
| 英文摘要: |
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