DocumentCode :
3516629
Title :
A Video Tracking System for Limb Motion Measurement in Small Animals
Author :
Xu, Qi ; Cai, Cong ; Zhou, Houlun ; Ren, Hangkong
Author_Institution :
Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume :
1
fYear :
2010
fDate :
11-12 Nov. 2010
Firstpage :
181
Lastpage :
184
Abstract :
Motion analysis can provide useful information for biomedical researches. In this paper, we have presented a video tracking system for limb motion measurement in small animals. A consumer-grade video camera is used to capture the image sequences on the rat motion in the low-cost planar motion capture system. The tracking software consists of matching, prediction and mismatch detection. The matching is used to find the correspondence between the reference template and the search area in the analyzed frame. The prediction is important to limit the region of processing, thus reducing the execution time. The mismatch detection is applied to enable a motion tracking with high accuracy and reliability. For different contrast levels between markers and background, two matching algorithms, i.e. intensity-based and color-based algorithms, are used to find the positions of tracked markers. Moreover, based on the polynomial fitting and improved Kalman filtering algorithms, a new algorithm is presented to predict the joint positions in order to limit the matching region. Finally, some results of the 2-D motion tracking in sagittal plane for rats are presented.
Keywords :
Kalman filters; image matching; image motion analysis; image sequences; motion measurement; object detection; object tracking; polynomials; prediction theory; video cameras; video signal processing; 2D motion tracking; Kalman filtering algorithms; biomedical researches; color-based algorithms; consumer-grade video camera; image sequences; intensity-based algorithms; joint positions; limb motion measurement; low-cost planar motion capture system; matching algorithms; matching detection; matching region; mismatch detection; motion analysis; polynomial fitting; prediction detection; rat motion; reference template; region of processing; sagittal plane; small animals; tracked markers; tracking software; video tracking system; 2-D motion analysis; image processing; small animal; tracking markers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Optoelectronics and Image Processing (ICOIP), 2010 International Conference on
Conference_Location :
Haiko
Print_ISBN :
978-1-4244-8683-0
Type :
conf
DOI :
10.1109/ICOIP.2010.327
Filename :
5663254
Link To Document :
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