Title :
Firing particle flow detection and tracking in sequence images
Author :
Xuan, Yang ; Jihong, Pei ; Wanhai, Yang
Author_Institution :
Sch. of Electron. Eng., Xidian Univ., Xi´´an, China
Abstract :
A method of detecting and tracking firing particle flow in sequence images is proposed in this paper. The features of the firing particle flow in sequence images are analyzed and described using a fuzzy linguistic variable that is used to detect the moving objects. Moving trajectory tracking of firing particle flow is accomplished adaptively also. This method is feasible and satisfied with experiment results
Keywords :
fuzzy set theory; image sequences; tracking; firing particle flow detection; firing particle flow tracking; fuzzy linguistic variable; image sequence; moving object detection; moving trajectory tracking; sequence images; Image analysis; Image motion analysis; Image segmentation; Image sequence analysis; Layout; Motion estimation; Noise level; Object detection; Particle tracking; Trajectory;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.862537