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Output details

11 - Computer Science and Informatics

Loughborough University

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Output 21 of 68 in the submission
Article title

Carried object detection in videos using color information

Type
D - Journal article
Title of journal
IEEE Transactions on Information Forensics and Security
Article number
-
Volume number
8
Issue number
10
First page of article
1620
ISSN of journal
1556-6013
Year of publication
2013
URL
-
Number of additional authors
2
Additional information

<23> The fundamental research on baggage detection presented in this paper originated during an EPSRC/TSB funded R&D project (No: TP/5/DAT/6/I/H07927L). Subsequently a practical implementation was incorporated within a commercial video forensic tool developed within a KTP project (KTP 8722, £ 121K) that was commercially launched at the IFSEC 2012 Exhibition by Visimetrics Ltd. (now Digital Barriers), as FiND (http://www.securitynewsdesk.com/2011/04/21/visimetrics-­1m-­rd-­project­find%E2%84%A2-­to-­be-­launched-­at­ifsec-­2011/). With the video forensic tool the proposed work specifically handles the detection of people carrying bags. An initial version of the work presented in this paper was presented at the 11th Int. Conf. on Intelligent Systems Design and Applications 2011.

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-