Analysis of Crowded Scenes using Holistic Properties

Research output: Conference PapersRGC 32 - Refereed conference paper (without host publication)peer-review

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Author(s)

Detail(s)

Original languageEnglish
Publication statusPublished - Jun 2009
Externally publishedYes

Workshop

Title11th IEEE Intl. Workshop on Performance Evaluation of Tracking and Surveillance (PETS 2009)
Location
City
Period6 August 2010

Abstract

We present results on the PETS 2009 dataset using surveillance systems based on holistic properties of the video. In particular, we evaluate a crowd counting system, based on regression of holistic (global) features, on the PETS 2009 dataset. We also present experimental results on crowd event detection when using the dynamic texture model to represent holistic motion flow in the video

Citation Format(s)

Analysis of Crowded Scenes using Holistic Properties. / CHAN, Antoni Bert; Morrow, Mulloy; Vasconcelos, Nuno.
2009. Paper presented at 11th IEEE Intl. Workshop on Performance Evaluation of Tracking and Surveillance (PETS 2009).

Research output: Conference PapersRGC 32 - Refereed conference paper (without host publication)peer-review