Consistent Labeling of Tracked Objects in Multiple Cameras with Overlapping Fields of View

By Sohaib Khan, Mubarak Shah. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003

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Modeling inter-camera space-time and appearance relationships for tracking across non-overlapping views (2008, background): “However, for a given pair of cameras, this transformation is not unique and also depends upon the scene illumination and camera parameters.”
Intelligent multi-camera video surveillance: A review (2013, methodology): “Khan and Shah (2003) propose a method to automatically recover FOV lines, which are the boundaries of the FOV of a camera in another camera views, by observing the motions of objects.”
Object tracking: A survey (2006, methodology): “2001; Cai and Aggarwal 1999] or computed automatically [Lee et al. 2000; Khan and Shah 2003] from the”
Dissimilarity-based people re-identification and search for intelligent video surveillance (2013, background): “Indeed, if FOVs are at least partly overlapping, one may exploit the simultaneous presence of a person in two or more video feeds to keep his/her identity over different cameras [79].”
Tracking Multiple Occluding People by Localizing on Multiple Scene Planes (2009, background): “In spite of the current body of knowledge, we believe monocular methods have limited ability to handle occlusions involving several objects, generally two or three, because the single viewpoint is intrinsically unable to observe the hidden areas.”