You are in : Home » Results & submissions » Select UOA » 11 - Computer Science and Informatics » View submission: University of Bristol » Outputs » Detail

Output details

11 - Computer Science and Informatics

University of Bristol

Return to search Previous output Next output

Output 47 of 159 in the submission

Article title

Detecting Carried Objects from Sequences of Walking Pedestrians

Type

D - Journal article

DOI

10.1109/TPAMI.2011.205

Title of journal

IEEE Transactions on Pattern Analysis and Machine Intelligence

Article number

Volume number

Issue number

First page of article

1056

ISSN of journal

01628828

Year of publication

2012

URL

http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6042880&tag=1

Number of additional authors

Additional information

<23> This paper is a journal version of previous ECCV08 and CVPR09 presentations. Its work, on detecting carried objects, has since been applied to the detection of suspicious activity related to baggage exchange in various environments. Due to the obvious application of this technology to anti-terroism, the work has been followed up by the University of Leeds in a EU project (SUBITO, FP7-SECURITY, project reference: 218004, EUR 3,897,587, 2009-2011,) and a DARPA funded project (VIGIL).

Interdisciplinary

Cross-referral requested

Research group

E - Visual Information Laboratory

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract