Paper Title:
Abnormal Motion Detection for Intelligent Video Surveillance
  Abstract

A method of abnormal motion detection for intelligent video surveillance is presented, which includes object intrusion detection, object overlong stay detection and object overpopulation detection. Background subtraction algorithm is used to detect moving objects in video streams. Kalman filter is applied for object tracking. By the construction of relation matrix, the tracking process is divided into five statuses for prediction and estimation, which are object disappearing, object separating, new object appearing, object sheltering and object matching. The object parameters and predictive information in the next frame which is used to track moving objects is established by Kalman filter. Then, three types of abnormal motion detection are implemented. The relative position of alarm area or guard line with the rectangle boxes of the moving objects is used to detect whether the object is invading. The existing time of the moving objects in monitor area is counted to detect whether the object is staying too long. Moving objects in the monitor area are classified and counted to detect whether the objects are too much. Alarm will be triggered when abnormal motion detection as defined is detected in the monitor area.

  Info
Periodical
Edited by
Qi Luo
Pages
2290-2295
DOI
10.4028/www.scientific.net/AMM.58-60.2290
Citation
R. H. Huan, X. M. Tang, Z. H. Wang, Q. Z. Chen, "Abnormal Motion Detection for Intelligent Video Surveillance", Applied Mechanics and Materials, Vols. 58-60, pp. 2290-2295, 2011
Online since
June 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Zhong Qu, Qing Wei Ma
Abstract:In this paper, we extract slight movement object of real-time video images by using skin color detection and clustering methods. The...
603
Authors: Jing Li, Huai Yu Liu, Liu Rong Hong
Chapter 2: Mechatronics and Automation
Abstract:A road background generation and update method that is based on segment statistics is put forward. It is to generate background by image...
489
Authors: Fei Tong, Lei Xu
Chapter 5: Control and Detection Technology
Abstract:Traffic accident has already become a significant social problem. Intelligent Transportation Systems (ITS) is vital to improve the vehicle...
1090
Authors: Xin Yao, Zai Lin Yao, Xin Ying Teng
Chapter 6: Power System and Automation
Abstract:Harmonic detection is one of the most important core part of Active Power Filter,which can quickly and accurately detect the harmonic current...
953
Authors: Suppatoomsin Chompoo, Srikaew Arthit
Chapter 6: Techniques of Measuring and Modeling
Abstract:This paper presents a hybrid method for vehicle detection from CCTV captured image. In order to overwhelm such complex details of the color...
412