Title :
Object Track in Underwater Sonar Images
Author :
Zhang Tiedong ; Wan Lei ; Chen Yan ; Li Dongqi
Author_Institution :
State Key Lab. of Autonomous Underwater Vehicle, Harbin Eng. Univ., Harbin, China
Abstract :
A method based on the particle filter was proposed to resolve the problem of target track in looking forward sonar image sequences. The theory of particle filter was illustrated, and it was used to estimate the situation of objects in sonar images. Considering the relation between the process noise and the steady results, process noise was set by the adaptive strategy. At last, the results of experiments using real scan sequences were presented, and they show that the method is robustness and effective.
Keywords :
image sequences; particle filtering (numerical methods); sonar tracking; target tracking; object track; particle filter; real scan sequences; target track; underwater sonar images; Acoustic imaging; Image resolution; Object detection; Optical imaging; Particle filters; Particle measurements; Particle tracking; Sonar detection; Target tracking; Underwater tracking;
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
DOI :
10.1109/CISP.2009.5303665
