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Video analytics algorithm for detecting objects crossing lines in specific direction using blob-based analysis

Published: 03 December 2012 Publication History

Abstract

This paper presents a video analytics algorithm for detecting event of objects crossing predetermined line-of-interest in the scene in specific direction. A fast blob-based analysis is formulated to detect the event, combined with the object detection and tracking to detect and tracked the object as motion blobs. Proposed algorithm is tested in real outdoor surveillance environment for 24 hours in 3 days to evaluate the detection accuracies in different scenarios. For comparison, the testing is done against a commercial surveillance system. The results show that the proposed algorithm provides better accuracy in all scenarios, while maintaining real-time processing capacity.

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Hampapur, A.; Bobbit, R.; Brown, L.; Desimone, M.; Feris, R.; Kjeldsen, R.; Lu, M.; Mercier, C.; Milite, C.; Russo, S.; Chiao-Fe Shu, 2009, Video Analytics in Urban Environments," IEEE International Conf. on Advanced Video and Signal Based Surveillance (AVSS), 128--133.
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  1. Video analytics algorithm for detecting objects crossing lines in specific direction using blob-based analysis

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      MoMM '12: Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia
      December 2012
      323 pages
      ISBN:9781450313070
      DOI:10.1145/2428955
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 03 December 2012

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      Author Tags

      1. line intrusion
      2. surveillance system
      3. tripwire
      4. video analytics
      5. virtual boundary
      6. wrong direction detection

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