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

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    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

    Cite this

    Saito, S., Nakano, T., Akabane, M., & Kobayashi, T. (2016). Evaluation of collaborative video surveillance platform: Prototype development of abandoned object detection. In ICDSC 2016 - 10th International Conference on Distributed Smart Cameras (Vol. 12-15-September-2016, pp. 172-177). [2967416] Association for Computing Machinery. https://doi.org/10.1145/2967413.2967416