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Erschienen in:
2016 | OriginalPaper | Buchkapitel
Unsupervised Learning Based Video Surveillance System Established with Networked Cameras
verfasst von : R. Venkatesan, P. Dinesh Anton Raja, A. Balaji Ganesh
Erschienen in: Advances in Signal Processing and Intelligent Recognition Systems
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The paper presents an autonomous video surveillance system for tracking moving objects in a networked camera environment. The system is validated to identify an authenticated users’ vehicle which is provided with unique sticker as well as vehicle registration number. The multi-camera tracking is implemented on the basis of decentralized hand-over procedure between adjacent cameras. The object of interest in the source image is learnt as single tracking instance and eventually shared among other cameras in the network, autonomously. Thus, the moving objects are continuously tracked without the advent of central supervision and it can be scaled up higher for monitoring of vehicle traffic and other remote surveillance applications.