Advances in Intelligent Visual Surveillance Technology

Yi Ding; Yu Hui Li; Bo Li

doi:10.4028/www.scientific.net/AMM.738-739.730

Paper Titles

Multi-Target Detecting and Extracting Rule Based on Frequency and Range Information
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Void Fraction Detection in a Gas-Liquid Two-Phase Flow Using a Propagation Attenuation Method
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Design and Implementation of a Remote Monitor System on Potted Flowers
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Design of On-Line Monitoring System of Partial Discharge in GIS Based on the Combination of Acoustic and Electric
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Advances in Intelligent Visual Surveillance Technology
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Algorithm Research of Current Injection in Output Control of Accelerometer Based on INS Onboard Hardware in Loop Real-Time Test System
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Applying Lightweight UAV in Landslide Monitoring
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CCD Temperature Measurement System Design Based on Truncated Mean Weighed Algorithm
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Intelligent Inspection of the High-Speed Train Bogie Flaw Based on Eddy Current
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 738-739Advances in Intelligent Visual Surveillance...

Advances in Intelligent Visual Surveillance Technology

Abstract:

With the improvement of people's security requirements,increasing the number of surveillance cameras,video surveillance by human beings is no longer suitable. Hence,intelligent visual surveillance technology emerges and becomes one of the hottest research points. In this paper,the processing of intelligent video surveillance based on human motion was divided into four categories: target detection,target tracking,object classification and recognition,and behavior analysis. Also made a detailed comprehensive review for situation of these parts,and made comprehensively summarized for the problems and difficulties which have to be resolved.

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Periodical:

Applied Mechanics and Materials (Volumes 738-739)

Pages:

730-733

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.738-739.730

Citation:

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Online since:

March 2015

Authors:

Yi Ding*, Yu Hui Li, Bo Li

Keywords:

Behavior Analysis, Intelligent Video Surveillance, Object Classification & Recognition, Target Detection, Target Tracking

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* - Corresponding Author

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