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

Susumu Saito, Teppei Nakano, Makoto Akabane, Tetsunori Kobayashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationICDSC 2016 - 10th International Conference on Distributed Smart Cameras
PublisherAssociation for Computing Machinery
Pages172-177
Number of pages6
Volume12-15-September-2016
ISBN (Electronic)9781450347860
DOIs
Publication statusPublished - 2016 Sep 12
Event10th International Conference on Distributed Smart Cameras, ICDSC 2016 - Paris, France
Duration: 2016 Sep 122016 Sep 15

Other

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

Keywords

  • Automated detection and alerting
  • Crowdsourcing
  • Open platform
  • Video surveillance

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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