文章基本信息

标题：An Efficient Real Time Moving Object Detection Method for Video Surveillance System
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作者：Pranab Kumar Dhar ; Mohammad Ibrahim Khan ; Ashoke Kumar Sen Gupta 等
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2012
卷号：5
期号：3
出版社：SERSC
摘要：Moving object detection has been widely used in diverse discipline such as intelligent transportation systems, airport security systems, video monitoring systems, and so on. In this paper, we propose an efficient moving object detection method using enhanced edge localization mechanism and gradient directional masking for video surveillance system. In our proposed method, gradient map images are initially generated from the input and background images using a gradient operator. The gradient difference map is then calculated from gradient map images. The moving object is then detected by using appropriate directional masking and thresholding. Simulation results indicate that the proposed method consistently performs well under different illumination conditions including indoor, outdoor, sunny, and foggy cases. Moreover, it outperforms well known edge based method in terms of detecting moving objects and error rate. Moreover, the proposed method is computationally faster and it is applicable for detecting moving object in real-time.
关键词：Video Surveillance; Gradient Directional Masking; Edge Localization; and;Object Detection