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Output details

11 - Computer Science and Informatics

University of Leeds

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Output 31 of 95 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

0162-8828

Year of publication

2012

URL

Number of additional authors

Additional information

<23>The detection of carried bags is an important problem in some applications of computer vision. Our new method, presented in this journal article, defined the state of the art over the previous gold-standard (University of Maryland, IEEE-TPAMI, 2000). The method is being used within the DARPA Minds Eye program as baseline for developments and evaluation (consortium led by SRI, involving Leeds and Maryland, $570k to Leeds): results published in 2013 at CVPR workshop (Maryland, DOI:10.1109/CVPRW.2013.114) and ICVS (Leeds, DOI:10.1007/978-3-642-39402-7_23). An earlier version of this work appeared in the leading European conference in Computer Vision (ECCV 2008, DOI:10.1007/978-3-540-88690-7_12).

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract