Evaluation of collaborative video surveillance platform: Prototype development of abandoned object detection

Susumu Saito, Teppei Nakano, Makoto Akabane, Tetsunori Kobayashi

研究成果: Conference contribution

抄録

This paper evaluates a new video surveillance platform presented in a previous study, through an abandoned object detection task. The proposed platform has a function of automated detection and alerting, which is still a big challenge for a machine algorithm due to its recall-precision tradeoff problem. To achieve both high recall and high precision simultaneously, a hybrid approach using crowdsourcing after image analysis is proposed. This approach, however, is still not clear about what extent it can improve detection accuracy and raise quicker alerts. In this paper, the experiment is conducted for abandoned object detection, as one of the most common surveillance tasks. The results show that detection accuracy was improved from 50% (without crowdsourcing) to stable 95-100% (with crowdsourcing) by majority vote of 7 crowdworkers for each task. In contrast, alert time issue still remains open to further discussion since at least 7+ minutes are required to get the best performance.

本文言語English
ホスト出版物のタイトルICDSC 2016 - 10th International Conference on Distributed Smart Cameras
出版社Association for Computing Machinery
ページ172-177
ページ数6
ISBN(電子版)9781450347860
DOI
出版ステータスPublished - 2016 9 12
イベント10th International Conference on Distributed Smart Cameras, ICDSC 2016 - Paris, France
継続期間: 2016 9 122016 9 15

出版物シリーズ

名前ACM International Conference Proceeding Series
12-15-September-2016

Other

Other10th International Conference on Distributed Smart Cameras, ICDSC 2016
国/地域France
CityParis
Period16/9/1216/9/15

ASJC Scopus subject areas

  • ソフトウェア
  • 人間とコンピュータの相互作用
  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ ネットワークおよび通信

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