Security is tedious, complex and tough job in today’s digitized world. An attempt is made to study and propose an intelligent system for surveillance. Surveillance camera systems are used for monitoring and controlling the security. Anomaly detection techniques are proposed for designing the intelligent control system. In the paper challenges in detection and processing of anomaly in surveillance systems are discussed and analyzed. Major components related to an anomaly detection technique of camera control system are proposed in the paper. Surveillance data is generated through camera, and then this data is transmitted over the network to the storage. Processing is to be done on real time basis and if there is any anomaly detected, the system must produce an alert. This paper is an attempt to study soft computing approaches for anomaly detection.
CITATION STYLE
Saini, D. K., Ahir, D., & Ganatra, A. (2016). Techniques and challenges in building intelligent systems: Anomaly detection in camera surveillance. In Smart Innovation, Systems and Technologies (Vol. 51, pp. 11–21). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-319-30927-9_2
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