NDLI: Detection and classification of object movement - an application for video surveillance system

Content Provider	IEEE Xplore Digital Library
Author	Kong Chien Lai Yeow Peng Chang Kin Hoe Cheong Siak Wang Khor
Copyright Year	2010
Description	Author affiliation: Faculty of Information and Communication Technology, Universiti Tunku Abdul Rahman Petaling Jaya, Malaysia (Kong Chien Lai; Yeow Peng Chang; Kin Hoe Cheong; Siak Wang Khor)
Abstract	Moving and non-moving object detection has never been ignored in the research of computer vision due to its practicality for computer surveillance system. In this paper, the concern is not only detecting and differentiating whether an object is moving or non-moving, but also, classifying grouping objects and speed changing objects as suspicious moving objects. A background subtraction technique has been employed in this work as it is able to provide complete silhouettes of the moving objects. However, it is extremely sensitive to dynamic changes such as change of illumination. The detected foreground pixels usually contain noise. These noises are filtered by a median filter. The classification algorithm makes use of the area of objects to determine whether it is a group or single moving object. Furthermore, the detection of speed changes makes use of the centroid location of each object, and it is calculated by the distance where the centroid has moved across the frames. The proposed system is tested with 30 datasets and the experimental results show that the system has achieved an accuracy of 85%.
File Size	491126
File Format	PDF
ISBN	9781424463473
e-ISBN	9781424463497
DOI	10.1109/ICCET.2010.5485748
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer vision System testing detection Change detection algorithms Classification algorithms Application software classification moving and non-moving object Subtraction techniques Filters object segmentation Lighting surveillance system Object detection Video surveillance background subtraction
Content Type	Text
Resource Type	Article

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