Abstract
Most of the current indoor surveillance applications have single-camera single-room architecture where the cameras are stationary. Typically, each camera is assignee to a dedicated video recorder that can store the streaming video in either time-lapsed or event-based mode. These events are often limited to simple motion detection mechanisms. Considering the huge amount of the video data a multi-camera system may produces over a short time period, more sophisticated tools for control, representation, and content analysis became an urgent need. The nature of surveillance applications demands automatic and accurate detection of object of interest, intra-camera tracking, fusion of multiple modalities to solve inter-camera correspondence problem, easy access and retrieving video data, capability to make semantic query, and abstraction of video content.
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Porikli, F. (2003). Multi-Camera Surveillance. In: Foresti, G.L., Regazzoni, C.S., Varshney, P.K. (eds) Multisensor Surveillance Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0371-2_10
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DOI: https://doi.org/10.1007/978-1-4615-0371-2_10
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