DocumentCode :
3378816
Title :
High-performance drosophila movement tracking
Author :
Yu, Xiaoyi ; Zhou, Han ; Wu, Lingyi ; Liu, Qingfeng
Author_Institution :
Lanzhou Univ., Lanzhou, China
fYear :
2011
fDate :
1-2 Dec. 2011
Firstpage :
69
Lastpage :
72
Abstract :
Machine vision systems have been designed for automated monitoring and analysis of social behavior in Drosophila by Herko Dankert. The Ctrax (The Caltech Multiple Fly Tracker) is implemented for tracking the Drosophila´s movement. But the machine vision method is so sophisticated that it is hard to use by a researcher who is lack of computer technology knowledge. Likewise, most of the machine vision solutions are poor performance for the real time environment. Our work focuses on developing a high-performance application to track moving Drosophila and generate reliable tracks from the video. A light solution to automatically tracking the Drosophila in video is implemented, based on object motion in different parts of the scene. The results of effect tests show that our solution tackles the questions of performance, usability and accuracy in machine vision for bioresearch.
Keywords :
computer vision; computerised monitoring; object detection; real-time systems; Ctrax; Herko Dankert; automated monitoring; bioresearch; caltech multiple fly tracker; computer technology knowledge; drosophila movement tracking; machine vision systems; object motion; real time environment; social behavior; Accuracy; Educational institutions; Machine vision; Noise; Real time systems; Target tracking; Drosophila; behavior analysis; machine vision; tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Visual Surveillance (IVS), 2011 Third Chinese Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1834-2
Type :
conf
DOI :
10.1109/IVSurv.2011.6157027
Filename :
6157027
Link To Document :
بازگشت