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Chapter

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Title

Human Activity Recognition in Multiview Video

Authors

[ 1 ] Katedra Telekomunikacji Multimedialnej i Mikroelektroniki, Wydział Elektroniki i Telekomunikacji, Politechnika Poznańska | [ P ] employee

Year of publication

2014

Chapter type

paper

Publication language

english

Abstract

EN In this paper, a novel multiview video based human activity recognition system which automatic detects of such behavior as fainting, a fight or a call for help is presented. The approach proposed in this paper used a directed graphical model based on propagation nets, a subset of dynamic Bayesian networks approaches, to model the behaviors. The performance of activity recognition is analyzed for three methods of characteristic points forming a behavior descriptor (four extreme points over contour, four extreme points over contour with different normalization process and n-evenly distributed points on the contour). The results prove high score of recognition of the system for “Calling for help”, “Faint”, “Fight”, “Falling” and “Bend at the waist” behaviors.

Pages (from - to)

148 - 153

DOI

10.1109/AVSS.2014.6918659

URL

https://ieeexplore.ieee.org/document/6918659

Book

11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Seoul, Korea, 26-29 August, 2014

Presented on

11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 26-29.08.2014, Seoul, Republic of Korea

Publication indexed in

WoS (15)

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