Multi-agent event recognition

Author

Hongeng, Somboon ; Nevatia, Ramakant

Author_Institution

Inst. for Robotics & Intelligent Syst., Univ. of Southern California, Los Angeles, CA, USA

Volume

2

fYear

2001

fDate

2001

Firstpage

84

Abstract

This paper presents a new approach to recognizing multiagent events observed by a static camera. To track objects robustly, knowledge about the ground plane and the events is used. An event is considered as composed of action threads, each thread being executed by a single actor. A single thread of action is recognized from the characteristics of the trajectory and moving blob of the actor using Bayesian methods. A multi-agent event is represented by a number of action threads related by temporal constraints. Multi-agent events are recognized by propagating the constraints and likelihoods of event threads in a temporal logic network

Keywords

multi-agent systems; object recognition; temporal logic; Bayesian methods; action threads; ground plane; multi-agent event; multi-agent event recognition; multiagent events; static camera; temporal constraints; temporal logic network; Bayesian methods; Cameras; Hidden Markov models; Intelligent agent; Intelligent robots; Intelligent systems; Layout; Noise robustness; Shape; Yarn;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Conference on

Conference_Location

Vancouver, BC

Print_ISBN

0-7695-1143-0

Type

conf

DOI

10.1109/ICCV.2001.937608

Filename

937608