NDLI: Frame based object detection - an application for traffic monitoring

Content Provider	IEEE Xplore Digital Library
Author	Chin Hong Low Ming Kiat Lee Siak Wang Khor
Copyright Year	2010
Description	Author affiliation: Faculty of Information and Communication Technology, Universiti Tunku Abdul Rahman, Petaling Jaya, Malaysia (Chin Hong Low; Ming Kiat Lee; Siak Wang Khor)
Abstract	In this paper, we describe a system that is capable of detecting and segmenting objects from video frames which helps in traffic surveillance. Shadow is one of the problems faced by most of the object detection systems. It will affect the result of object detection and segmentation. Hence a shadow removal method is applied in the preprocessing phase of the system to amplify the accuracy of detection. MATLAB is the major platform for developing this system. By differentiating the background and foreground of the video scenes using MATLAB embedded functions, the foreground regions are segmented as the objects. The segmented objects are saved for further development of computer vision applications such as object recognition and classification. The proposed system is tested with four traffic video scenes and the experimental results show that the system works well with an accuracy of approximately 90% achieved.
File Size	200691
File Format	PDF
ISBN	9781424463473
e-ISBN	9781424463497
DOI	10.1109/ICCET.2010.5485742
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 object detection Face detection Application software Object recognition MATLAB Phase detection traffic flow monitoring shadow removal object segmentation Surveillance Layout Object detection surveillance background subtraction Monitoring
Content Type	Text
Resource Type	Article

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