Results 31 to 40 of about 313,667 (223)
Surveillance video mining [PDF]
IET International Conference on Visual Information Engineering (VIE 2006), 2006 This paper approaches the problem of surveillance event characterization at two levels. First, the information characterizable at the single camera image-plane level, where we use a set of occlusion primitives to define a set of time-varying predicates on heterogeneous objects moving in unknown environments.
null Prithwijit Guha +4 more
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Optimization of Wireless Video Surveillance System for Smart Campus Based on Internet of Things
IEEE Access, 2020 In order to strengthen school security and build a wireless smart campus, this article optimizes the existing wireless video surveillance system based on the Internet of Things.
Zhiqing Zhou, Heng Yu, Hesheng Shi
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Lost in Time: Temporal Analytics for Long-Term Video Surveillance
, 2017 Video surveillance is a well researched area of study with substantial work done in the aspects of object detection, tracking and behavior analysis. With the abundance of video data captured over a long period of time, we can understand patterns in human
Khor, Huai-Qian, See, John
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Video surveillance using distance maps [PDF]
SPIE Proceedings, 2006 Human vigilance is limited; hence, automatic motion and distance detection is one of the central issues in video surveillance. Hereby, many aspects are of importance, this paper specially addresses: efficiency, achieving real-time performance, accuracy, and robustness against various noise factors.
Schouten, Th.E. +2 more
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AVSS: Airborne Video Surveillance System [PDF]
Sensors, 2018 Most surveillance systems only contain CCTVs. CCTVs, however, provide only limited maneuverability against dynamic targets and are inefficient for short term surveillance. Such limitations do not raise much concern in some cases, but for the scenario in which traditional surveillance systems do not suffice, adopting a fleet of UAVs can help overcoming ...
Jongtack Jung +5 more
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A Comparison of CNN-based Face and Head Detectors for Real-Time Video Surveillance Applications
, 2017 Detecting faces and heads appearing in video feeds are challenging tasks in real-world video surveillance applications due to variations in appearance, occlusions and complex backgrounds. Recently, several CNN architectures have been proposed to increase
Blais-Morin, Louis-Antoine +3 more
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IEEE AccessBy detecting abnormal violation event in surveillance videos, the safety management capabilities in high-risk power operations can be improved. This research constructs an intelligent abnormal event detection technology using deep learning algorithms ...
Chenxiang Lin +5 more
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Learning to Detect Violent Videos using Convolutional Long Short-Term Memory
, 2017 Developing a technique for the automatic analysis of surveillance videos in order to identify the presence of violence is of broad interest. In this work, we propose a deep neural network for the purpose of recognizing violent videos.
Lanz, Oswald, Sudhakaran, Swathikiran
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Moving Object Detection for Video Surveillance
The Scientific World Journal, 2015 The emergence of video surveillance is the most promising solution for people living independently in their home. Recently several contributions for video surveillance have been proposed.
K. Kalirajan, M. Sudha
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TRECVID 2008 - goals, tasks, data, evaluation mechanisms and metrics [PDF]
, 2008 The TREC Video Retrieval Evaluation (TRECVID) 2008 is a TREC-style video analysis and retrieval evaluation, the goal of which remains to promote progress in content-based exploitation of digital video via open, metrics-based evaluation.
Awad, George M. +5 more
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