NDLI: Identification of moving objects in poor quality surveillance data

Content Provider	IEEE Xplore Digital Library
Author	Kuklyte, J. McGuinness, K. Hebbalaguppe, R. Direkoglu, C. Gualano, L. O'Connor, N.E.
Copyright Year	2013
Description	Author affiliation: CLARITY: Centre for Sensor Web Technol., Dublin City Univ., Dublin, Ireland (Kuklyte, J.; McGuinness, K.; Hebbalaguppe, R.; Direkoglu, C.; Gualano, L.; O'Connor, N.E.)
Abstract	In a world of pervasive visual surveillance and fast computing there is a growing interest in automated surveillance analytics. Object classification can support existing event detection techniques by identifying objects present allowing confident prioritization of the detected events. In this paper we propose an effective object classification algorithm to distinguish between four classes that are important for outdoor surveillance applications: people, vehicles, animals and `other'. A challenging dataset that has been obtained from an industry partner from real deployments of poor quality cameras is used to evaluate the proposed approach. Frame differencing was found to be the most suitable approach to detect moving objects with Histogram of Oriented Gradients (HOG) the preferred choice to represent the objects. An SVM was used for classification. The results show that the proposed approach gives higher accuracy than a similar approach based on SIFT and bag words.
Starting Page	1
Ending Page	4
File Size	1687820
Page Count	4
File Format	PDF
ISBN	9781479908332
ISSN	21585873
DOI	10.1109/WIAMIS.2013.6616165
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-03
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Industries Visualization Animals Surveillance Cameras Vehicles
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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