CAMAOT: Channel-Aware Multi-Camera Active Object Tracking System

Multi-Camera Active Object Tracking is an attractive technique in the area of intelligent surveillance, where cameras share their observations via the wireless communication to collaboratively track the target. Due to the variability in wireless channel, the dynamic transmission delay between cameras significantly affects the collaboration performance, especially when the tracking is time-sensitive. In this paper, we propose a channel-aware multi-camera active object tracking (CAMAOT) system, to achieve the stable and improved tracking performance. Specifically, a communication decision module is designed in CAMAOT, where the cameras’ communication graph and communication resource allocation adapt to the channels. Our experiments demonstrate that for time-varying channels, CAMAOT has a stable performance improvement over other systems, particularly when the communication resources are limited.

Authors

• Maolong Yin
• Bin Guo 0001
• Zhuo Sun 0002
• Lei Wu
• Zhaotie Hao
• Zhiwen Yu 0001

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