DocumentCode :
3775967
Title :
Appearance-based multiple fish tracking for collective motion analysis
Author :
Kei Terayama;Koki Hongo;Hitoshi Habe;Masa-aki Sakagami
Author_Institution :
Graduate School of Human and Environmental Studies, Kyoto University, Yoshida-nihonmatsu-cho, Sakyo-ku, Kyoto, Japan
fYear :
2015
Firstpage :
361
Lastpage :
365
Abstract :
We propose a visual tracking method for dense fish schools in which occlusions occur frequently. Although much progress has been made for tracking multiple objects in video images, it is challenging to track individuals in highly dense groups. For occluded fishes, estimation of their positions and directions is difficult. However, if we know the number of fishes in a local area, we can accurately estimate their states by matching all of the combinations of possible parameters on the basis of our appearance model. We apply the idea to track multiple fishes in a school. Experimental results show that multiple fishes are practically tracked with our method compared to a well-known tracking method, and the average difference is less than 4%b of the mean body length of the school.
Keywords :
"Target tracking","Parameter estimation","Trajectory","Cameras","Estimation","Position measurement"
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ACPR), 2015 3rd IAPR Asian Conference on
Electronic_ISBN :
2327-0985
Type :
conf
DOI :
10.1109/ACPR.2015.7486526
Filename :
7486526
Link To Document :
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