TY - GEN
T1 - Effi-MAOT
T2 - 19th International Conference on Mobility, Sensing and Networking, MSN 2023
AU - Yin, Maolong
AU - Sun, Zhuo
AU - Guo, Bin
AU - Yu, Zhiwen
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - attention mechanism
KW - communication efficiency
KW - multi-camera AOT
UR - http://www.scopus.com/inward/record.url?scp=85197534754&partnerID=8YFLogxK
U2 - 10.1109/MSN60784.2023.00016
DO - 10.1109/MSN60784.2023.00016
M3 - 会议稿件
AN - SCOPUS:85197534754
T3 - Proceedings - 2023 19th International Conference on Mobility, Sensing and Networking, MSN 2023
SP - 9
EP - 16
BT - Proceedings - 2023 19th International Conference on Mobility, Sensing and Networking, MSN 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 14 December 2023 through 16 December 2023
ER -