NDLI: Video Scene Object Detection Using An A Contrario Approach

Content Provider	IEEE Xplore Digital Library
Author	Ammar, M. Le Hegarat-Mascle, S. Reynaud, R. Robin, A.
Copyright Year	2008
Description	Author affiliation: Inst. Telecom, Telecom Bretagne, Brest (Robin, A.) \|\| IEF/ACCIS, Univ. Paris-Sud XI, Orsay (Ammar, M.; Le Hegarat-Mascle, S.; Reynaud, R.)
Abstract	This paper aims at showing the interest of the a contrario framework for object detection in video scenes. In the two approaches presented here, objects are detected at a window level, considering all the pixels included in a given window to decide the presence or the absence of objects in the window. Now, according to the a contrario principle, windows with objects are detected as too exceptional realizations of the model representing the windows without objects. The interest of this latter model, called `naive' model, is that it is generally much simpler than the one representing the variety of objects. Two window-based algorithms are proposed, one using the fact that an appearing object can be characterized by significantly high values in the image representing the difference with a background or reference, and the other one using the fact that objects form clusters of object-labeled pixels. The performance of our approach (two algorithms) has been tested on video scenes respectively acquired outdoors and indoors. Both algorithms have also been compared to alternative detection methods, and they proved their performance Finally, the obtained results on artificial noised images show the high robustness relatively to noise of the proposed two-step detection method.
Starting Page	1
Ending Page	8
File Size	5205617
Page Count	8
File Format	PDF
ISBN	9781424433216
DOI	10.1109/IPTA.2008.4743767
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-23
Publisher Place	Tunisia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shape Filtering Image processing Video sequences Telecommunications Electrical capacitance tomography Particle tracking a contrario model video processing Layout Clustering algorithms Object detection Gestalt theory
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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