Algorithms for cooperative multisensor surveillance

By Robert T. Collins, A. Lipton, Hironobu Fujiyoshi, Takeo Kanade. Proceedings of the IEEE, 2001

674 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/ae8259682989c7b9f7a88c69c4b908e7d671fc25

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Citations in the corpus

Topology control for wireless sensor networks (2003, methodology): “Based on an algorithm in Computational Geometry, we derive the optimal BS locations under three topological lifetime definitions according to mission criticality.”
Consistent Labeling of Tracked Objects in Multiple Cameras with Overlapping Fields of View (2003, background): “Index Terms—Tracking, multiple cameras, multiperspective video, surveillance, camera handoff, sensor fusion. æ”
IrisNet: An Architecture for a Worldwide Sensor Web (2003, methodology): “Efforts such as the Video Surveillance and Monitoring project 8 have explored using video sensors.”
A directionality based location discovery scheme for wireless sensor networks (2002, methodology): “We present a new method by which a sensor node can determine its location by listening to wireless transmissions from three or more .xed beacon nodes.”
Modeling inter-camera space-time and appearance relationships for tracking across non-overlapping views (2008, background): “To track people in an environment not fully covered by the camera fields of view, Collins et al. [ 4 ] developed a system consisting of multiple calibrated cameras and a site model.”
Kernel-Based Object Tracking (2003, methodology): “REAL-TIME object tracking is the critical task in many computer vision applications such as surveillance [44], [16], [32], perceptual user interfaces [10], augmented reality [26], smart rooms [39], [75], [47], object-based video compression [11], and driver assistance [34], [4].”
Tracking across multiple cameras with disjoint views (2003, methodology): “[3] developed a system consisting of multiple calibrated cameras and a site model.”
Survey on Contemporary Remote Surveillance Systems for Public Safety (2010, background): “What is required is a continuous 24-h monitoring of surveillance video to alert security officers of a burglary in progress, or a suspicious individual lingering in a parking lot, while there still is time to prevent the criminal offence [12].”
Object tracking: A survey (2006, methodology): “An important issue in using multiple cameras is the relationship between the different camera views which can be manually defined [Collins et al. 2001; Cai and Aggarwal 1999] or computed automatically [Lee et al.”
Intelligent multi-camera video surveillance: A review (2013, background): “…(PTZ) parameters are automatically and dynamically controlled by the systems, the performance of video surveillance can be significantly improved (Collins et al., 2001, 2002; Matsuyama and Ukita, 2002; Gonzalez-Galvan et al., 2002; Kurihara et al., 2002; Naish et al., 2003; Bakhtari et al.,…”