NDLI: Detecting Social Groups in Crowded Surveillance Videos Using Visual Attention

Content Provider	IEEE Xplore Digital Library
Author	Leach, M. Baxter, R. Robertson, N. Sparks, E.
Copyright Year	2014
Description	Author affiliation: Roke Manor Res., Romsey, UK (Leach, M.; Baxter, R.; Sparks, E.) \|\| Sch. of Eng. & Phys. Sci., Heriot-Watt Univ., Edinburgh, UK (Robertson, N.)
Abstract	In this paper we demonstrate that the current state of the art social grouping methodology can be enhanced with the use of visual attention estimation. In a surveillance environment it is possible to extract the gazing direction of pedestrians, a feature which can be used to improve social grouping estimation. We implement a state of the art motion based social grouping technique to get a baseline success at social grouping, and implement the same grouping with the addition of the visual attention feature. By a comparison of the success at finding social groups for two techniques we evaluate the effectiveness of including the visual attention feature. We test both methods on two datasets containing busy surveillance scenes. We find that the inclusion of visual interest improves the motion social grouping capability. For the Oxford data, we see a 5.6% improvement in true positives and 28.5% reduction in false positives. We see up to a 50% reduction in false positives in other datasets. The strength of the visual feature is demonstrated by the association of social connections that are otherwise missed by the motion only social grouping technique.
Sponsorship	IEEE Comput. Soc.
Starting Page	467
Ending Page	473
File Size	795555
Page Count	7
File Format	PDF
ISBN	9781479943081
ISSN	21607516
DOI	10.1109/CVPRW.2014.75
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Head Surveillance Machine vision Estimation Feature extraction Video surveillance Trajectory Positron emission tomography Computer aided analysis
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
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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