Fast human identification for video-based surveillance

Feng Li, Xiuping Jia, David Tien, Dalong Wang, N. M. Kwok

Research output: Book chapter/Published conference paperConference paperpeer-review

Abstract

In this paper, a fast and low cost human identification procedure is proposed for an outdoor video-based surveillance. It consists of an effective background extraction and a skeleton based people detection with shape constrains. This procedure can output the number and the coordinates of those detected people for each frame of the video. The output can either be used by a data analysis system or a crowed modelling system. Satisfactory results obtained from a benchmark video stream had illustrated the effectiveness of the proposed approach.

Original languageEnglish
Title of host publicationRPC 2010 - 1st Russia and Pacific Conference on Computer Technology and Applications 2010
Pages259-263
Number of pages5
Publication statusPublished - 01 Dec 2010
Event1st Russia and Pacific Conference on Computer Technology and Applications, RPC 2010 - Vladivostok, Russian Federation
Duration: 06 Sep 201009 Sep 2010

Conference

Conference1st Russia and Pacific Conference on Computer Technology and Applications, RPC 2010
Country/TerritoryRussian Federation
CityVladivostok
Period06/09/1009/09/10

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