Introduction to the Special Section on Video Surveillance

By Robert T. Collins, Christophe Biernacki, Gilles Celeux, A. Lipton, Gérard Govaert, Takeo Kanade. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000

474 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/74298daec5d7bdf797e7fc2a62e3bc2a000c7910

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In Computer Vision and Pattern Recognition

Citations in the corpus

Modeling inter-camera space-time and appearance relationships for tracking across non-overlapping views (2008, background): “Firstly, the observations of an object are often widely separated in time and space when viewed from non-overlapping cameras.”
Recent developments in human motion analysis (2003, background): “Visual surveillance The strong need of smart surveillance systems [7,8] stems from those security-sensitive areas such as banks, department stores, parking lots, and borders.”
Qualitative and Quantitative Spatio-temporal Relations in Daily Living Activity Recognition (2014, background): “Activity analysis is often investigated from a security domain perspective, as automatic recognition of human behaviour in sensitive areas is a critical issue for video surveillance [5–7].”
Learning activity patterns using fuzzy self-organizing neural network (2004, background): “Motion segmentation, moving object classification, and tracking have been widely studied for many years [30], [31], while activity understanding and semantic description have attracted much attention in recent years [1], [2], [37].”
Video-Based Abnormal Human Behavior Recognition—A Review (2012, background): “In [27], it was suggested that of the three video surveillance research directions namely detection and tracking, human motion”
Algorithms for cooperative multisensor surveillance (2001, background): “Automated surveillance has also been the topic of recent international workshops [19]–[23] and special sections in journals [24], [25].”
A survey on visual surveillance of object motion and behaviors (2004, background): “In [68] and [1], a special section on visual surveillance was published in June and August of 2000, respectively.”
Learning object motion patterns for anomaly detection and improved object detection (2008, background): “There have been significant advances in automated visual surveillance systems in the recent years [2] [13].”