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Advances in Urban Video-Based Surveillance Systems: A Survey

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Soft Computing Applications (SOFA 2014)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 356))

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Abstract

The focus of this paper is on providing the perspective intelligent technologies and systems for video-based urban surveillance. The development of intelligent transportation systems improves the safety on the road networks. Car manufacturers, public transportation services, and social institutions are interested in detecting pedestrians in the surroundings of a vehicle to avoid the dangerous traffic situations. Also the study of driver’s behavior has become a topic of interest in intelligent transportation systems. Another challenge deals with the intelligent vision technologies for pedestrians’ detection and tracking, which are fundamentally different from the crowd surveillance in public places during social events, sport competitions, etc. The detection of abnormal behavior is also connected with the human safety tasks. Some perspective methods of natural disaster surveillance such as earthquakes, fire, explosions, and terrorist attacks are briefly discussed.

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Authors and Affiliations

  1. Institute of Informatics and Telecommunication, Siberian State Aerospace University, 31, Krasnoyarsky Rabochy Av., 660014, Krasnoyarsk, Russia

    M. Favorskaya

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  1. M. Favorskaya
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Correspondence to M. Favorskaya .

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Editors and Affiliations

  1. Department of Automation and Applied Informatics, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  2. Faculty of Science and Technology, Data Science Institute, Bournemouth University, Poole, United Kingdom

    Lakhmi C. Jain

  3. University of Belgrade, Belgrade, Serbia

    Branko Kovačević

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Favorskaya, M. (2016). Advances in Urban Video-Based Surveillance Systems: A Survey. In: Balas, V., C. Jain, L., Kovačević, B. (eds) Soft Computing Applications. SOFA 2014. Advances in Intelligent Systems and Computing, vol 356. Springer, Cham. https://doi.org/10.1007/978-3-319-18296-4_7

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  • DOI: https://doi.org/10.1007/978-3-319-18296-4_7

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  • Online ISBN: 978-3-319-18296-4

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