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

研究成果: Article

2 引用 (Scopus)

抜粋

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.

元の言語English
ページ(範囲)688-697
ページ数10
ジャーナルIEICE Transactions on Communications
E101B
発行部数3
DOI
出版物ステータスPublished - 2018 3 1

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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