An automatic three-dimensional human behavior analysis system for video surveillance applications

Jenq Neng Hwang, Ibrahim Karliga, Hsu Yung Cheng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

We developed a system for automatic 3-D human body motion in video surveillance sequences. As the first step, the human body that will be used for the analysis is extracted and tracked based on video object (VO) segmentation technique. Once human body is extracted, this 2-D object, which consists of the merging of several regions, is then analyzed for activity and body part interpretation. The specific 2-D human body shape along with the information derived from maximum probable explanation (MPE) of dynamic Bayesian modeling is then effectively utilized to obtain 3-D body model frame-by-frame so that the 3-D motion trajectory of the human object can be derived for any future event analysis, which is independent of the viewing perspective of the 2-D video.

Original languageEnglish
Title of host publicationISCAS 2006
Subtitle of host publication2006 IEEE International Symposium on Circuits and Systems, Proceedings
Pages501-504
Number of pages4
StatePublished - 2006
EventISCAS 2006: 2006 IEEE International Symposium on Circuits and Systems - Kos, Greece
Duration: 21 May 200624 May 2006

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Conference

ConferenceISCAS 2006: 2006 IEEE International Symposium on Circuits and Systems
Country/TerritoryGreece
CityKos
Period21/05/0624/05/06

Fingerprint

Dive into the research topics of 'An automatic three-dimensional human behavior analysis system for video surveillance applications'. Together they form a unique fingerprint.

Cite this