Title :
Tracking and recognizing two-person interactions in outdoor image sequences
Author :
Sato, Koichi ; Aggarwal, J.K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Abstract :
This paper presents a methodology for tracking persons and identifying two-person interactions in outdoor image sequences. By locating and tracking two persons over consecutive frames of monocular grayscale image sequences, we classify their interactions into several classes. Some of the interaction classes are: one person leaves another stationary person; two persons meet coming from different directions; and one stationary person starts following another walking person. We use side-view image sequences obtained by a fixed camera. In these image sequences the subjects are frequently occluded and move perpendicular to the direction of the camera. We present results on tracking of persons and their interactions
Keywords :
feature extraction; image classification; image motion analysis; image recognition; image segmentation; image sequences; tracking; camera; feature extraction; human segmentation; image frames; interactions classification; monocular grayscale image sequences; occlusion; outdoor image sequences; side-view image sequences; stationary person; surveillance applications; two-person interactions recognition; two-person interactions tracking; walking person; Cameras; Head; Humans; Image recognition; Image segmentation; Image sequences; Legged locomotion; Principal component analysis; Surveillance; Tracking;
Conference_Titel :
Multi-Object Tracking, 2001. Proceedings. 2001 IEEE Workshop on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7695-1171-6
DOI :
10.1109/MOT.2001.937986
