Title :
Human activity recognition in multiview video
Author :
Mackowiak, Slawomir ; Gardzinski, Pawel ; Kaminski, Lukasz ; Kowalak, Krzysztof
Author_Institution :
Poznan Univ. of Technol., Poznań, Poland
Abstract :
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.
Keywords :
belief networks; motion estimation; Bayesian networks; graphical model; human activity recognition system; multiview video; propagation nets; Bayes methods; Cameras; Graphical models; Hidden Markov models; Image reconstruction; Probabilistic logic; Trajectory;
Conference_Titel :
Advanced Video and Signal Based Surveillance (AVSS), 2014 11th IEEE International Conference on
Conference_Location :
Seoul
DOI :
10.1109/AVSS.2014.6918659