Title :
Multi-agent event recognition
Author :
Hongeng, Somboon ; Nevatia, Ramakant
Author_Institution :
Inst. for Robotics & Intelligent Syst., Univ. of Southern California, Los Angeles, CA, USA
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;
Conference_Titel :
Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7695-1143-0
DOI :
10.1109/ICCV.2001.937608
