Intelligent multi-camera video surveillance: A review

By Xiaogang Wang. Pattern Recognition Letters, 2013

717 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/12138be732a2aa10e4eef460979bec64eb8e4f4c

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In Computer Vision and Pattern Recognition

Citations in the corpus

Learning Mid-level Filters for Person Re-identification (2014, background): “It receives increasing attentions in video surveillance for its important applications in threat detection, human retrieval, and multi-camera tracking [23].”
Multiple object tracking: A literature review (2014, background): “[21] Behavior Recognition in Transit Scenes 2010 Xiaogang Wang [20] Multi-Camera Video Surveillance 2013”
Person Re-identification: Past, Present and Future (2016, methodology): “Person re-ID research started with multi-camera tracking [8].”
Joint Learning of Single-Image and Cross-Image Representations for Person Re-identification (2016, background): “It has attracted increasing interests and encouraged considerable efforts in recent years due to its broad applications in video surveillance [34, 33].”
A Comparative Analysis of Object Detection Metrics with a Companion Open-Source Toolkit (2021, background): “Later on, advancements in object detection techniques led to their increasing adoption in areas that included the manufacturing industry with optical inspections [13], video surveillance [14], forensics [15,16], medical image analysis [17–19], autonomous vehicles [20], and trafﬁc monitoring [21].”
DeepReID: Deep Filter Pairing Neural Network for Person Re-identification (2014, background): “It has important applications in video surveillance, such as cross-camera tracking [42], multi-camera event detection [27], and pedestrian retrieval [27].”
Heterogeneous Information Fusion and Visualization for a Large-Scale Intelligent Video Surveillance System (2017, background): “The 3GSS has several capabilities: automatic event understanding for alerting operators, computer-based monitoring of a target, and tracking of targets among cameras [4].”
End-to-End Deep Learning for Person Search (2016, background): “It is a fast growing research area [41, 18, 20] and has many important applications in video surveillance and multimedia, such as pedestrian retrieval [22], cross-camera visual tracking [34], and activity analysis [36].”
Clothing Attributes Assisted Person Reidentification (2015, background): “However, it still remains an unsolved problem because of the low video quality and variations of viewpoints, pose, and illumination [1].”