Abstract
Surveillance system used for monitoring existed since decades. However, these surveillance systems required human intervention for the monitoring of suspicious behaviors. With the rapid revolution in technology, automatic detection of uncommon behaviors is gaining much attention from researchers. Being rapidly accepted in most public places to ensure transparency and security, surveillance systems are contributing in many applications like live traffic monitoring, crime scenes, and old people care. The deployment of automatic detection is very complex since it requires complex algorithms that should accurately detect uncommon behaviors, which is context-sensitive. In addition, it involves a lot of incoming data from various cameras, making it more challenging. In this perspective, the factors affecting surveillance systems and the techniques devised so far to detect uncommon behavior from these systems are analyzed and discussed. Robust automatic detection applications may yield to proactive decisions to be taken to prevent any harms/damages that would be caused by any uncommon/suspicious behaviors. Thus, it is important to explore techniques that can be used to implement automatic surveillance systems.
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Bheechook, L., Baichoo, S., Heenaye-Mamode Khan, M. (2019). The Need for Automatic Detection of Uncommon Behaviour in Surveillance Systems: A Short Review. In: Satapathy, S., Bhateja, V., Somanah, R., Yang, XS., Senkerik, R. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 863. Springer, Singapore. https://doi.org/10.1007/978-981-13-3338-5_38
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DOI: https://doi.org/10.1007/978-981-13-3338-5_38
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