Intelligent Video Surveillance System Based on Event Detection and Rate Adaptation by Using Multiple Sensors

Kenji KANAI  Keigo OGAWA  Masaru TAKEUCHI  Jiro KATTO  Toshitaka TSUDA  

IEICE TRANSACTIONS on Communications   Vol.E101-B    No.3    pp.688-697
Publication Date: 2018/03/01
Publicized: 2017/09/19
Online ISSN: 1745-1345
DOI: 10.1587/transcom.2017NRP0011
Type of Manuscript: Special Section PAPER (Special Section on Network Resource Control and Management for IoT Services and Applications)
video surveillance,  multi-modal sensors,  event detection,  event-driven rate adaptation,  

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To reduce the backbone video traffic generated by video surveillance, we propose an intelligent video surveillance system that offers multi-modal sensor-based event detection and event-driven video rate adaptation. Our proposed system can detect pedestrian existence and movements in the monitoring area by using multi-modal sensors (camera, laser scanner and infrared distance sensor) and control surveillance video quality according to the detected events. We evaluate event detection accuracy and video traffic volume in the experiment scenarios where up to six pedestrians pass through and/or stop at the monitoring area. Evaluation results conclude that our system can significantly reduce video traffic while ensuring high-quality surveillance.