Effi-MAOT: A Communication-Efficient Multi-Camera Active Object Tracking

Maolong Yin, Zhuo Sun, Bin Guo, Zhiwen Yu

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

Multi-camera Active Object Tracking (AOT) has become a promising technique to continuously track the moving target in the intelligent surveillance system. The communication among cameras provides an essential way to share the information and improve the tracking performance. To achieve the efficient collaboration among cameras, we propose a novel communication-efficient multi-camera AOT system in this paper, where one camera cooperates with other cameras to realize the active object tracking by sharing its visual observations when necessary. In the proposed system, we design a binary classified neural network based switch to determine whether to communicate. Moreover, we propose an attention based communication group construction method, which allows the camera to decide who to communicate. Through the control of whether to communicate and who to communicate, many communication connections of less importance are pruned. We construct a high-fidelity environment to mimic the real-world scenario. Experimental results demonstrate that compared to the existing systems, the proposed system can significantly reduce the occupied bandwidth and achieve an improved tracking performance, especially for the high-speed moving target.

源语言英语
主期刊名Proceedings - 2023 19th International Conference on Mobility, Sensing and Networking, MSN 2023
出版商Institute of Electrical and Electronics Engineers Inc.
9-16
页数8
ISBN(电子版)9798350358261
DOI
出版状态已出版 - 2023
活动19th International Conference on Mobility, Sensing and Networking, MSN 2023 - Jiangsu, 中国
期限: 14 12月 202316 12月 2023

出版系列

姓名Proceedings - 2023 19th International Conference on Mobility, Sensing and Networking, MSN 2023

会议

会议19th International Conference on Mobility, Sensing and Networking, MSN 2023
国家/地区中国
Jiangsu
时期14/12/2316/12/23

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