Active video-based surveillance system: the low-level image and video processing techniques needed for implementation

G.L. Foresti, C. Micheloni, L. Snidaro, P. Remagnino, T. Ellis
2005 IEEE Signal Processing Magazine  
T he importance of video surveillance techniques [3] , [9] , [25] has increased considerably since the latest terrorist incidents. Safety and security have become critical in many public areas, and there is a specific need to enable human operators to remotely monitor activity across large environments such as: a) transport systems (railway transportation, airports, urban and motorway road networks, and maritime transportation), b) banks, shopping malls, car parks, and public buildings, c)
more » ... trial environments, and d) government establishments (military bases, prisons, strategic infrastructures, radar centers, and hospitals). Modern video-based surveillance systems (see classifications described in [9]) employ real-time image analysis techniques for efficient image transmission, color image analysis, event-based attention focusing, and model-based sequence understanding. Moreover, cheaper and faster computing hardware combined with efficient and versatile sensors create complex system architectures; this is a contributing factor to the increasingly widespread deployment of multicamera systems. These multicamera systems can provide surveillance coverage across a wide area, ensuring object visibility over a large range of depths. They can also be employed to disambiguate occlusions. Techniques that address handover between cameras (in configurations with shared or disjoint views) are therefore becoming
doi:10.1109/msp.2005.1406473 fatcat:rj6almt6h5hglfa3k7vxnoieem