NDLI: Foreground background traffic scene modeling for object motion detection

Content Provider	IEEE Xplore Digital Library
Author	Sawalakhe, Swapnil R. Metkar, Shilpa P.
Copyright Year	2014
Description	Author affiliation: Dept. of Electronics & Telecommunication Engineering, COEP, Pune, India (Sawalakhe, Swapnil R.; Metkar, Shilpa P.)
Abstract	Almost every computer vision applications used background subtraction method to detect moving objects from video sequence. Moving object detection and tracking is generally the first step in many applications such as face detection, traffic surveillance, object recognition, detection of unattended bags, people counting etc. Background modeling is very useful and effective method for locating objects of interest in videos. Since many methods existed in literature is based on the assumption that variation occur in image are only due to movement of object of interest (i.e. the scene background is remain stationary during whole period of video), but these method has limited application because when scene shows a continuous dynamic behavior, such an assumption is violated and object detection performance is deteriorates. Proposed method detects a moving object from a video and tracks them. This paper provides new strategies, which extract a pure background frame. With the help of this pure background frame for background subtraction, this technique obtained one binary foreground image. The other one is acquired with the help of frame differencing. Finally a moving object are detected using spatial correlation of moving objects in background subtracted frames, for the pixel present in binary image obtain by frame differencing. We confirmed that our proposed method is effective for real world video.
Starting Page	1
Ending Page	6
File Size	1656608
Page Count	6
File Format	PDF
e-ISBN	9781479953646
DOI	10.1109/INDICON.2014.7030493
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-11
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation Computational modeling Noise frame differencing spatial correlation object detection Object recognition Accuracy Image color analysis traffic surveillance Object detection computer vision background subtraction
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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