DocumentCode
524392
Title
Covariance tracking algorithm based on particle filter and adaptive template update
Author
Wu, Pianpian ; Wang, Jingling ; Zhang, Qin
Author_Institution
Dept. of Inf. Eng., Commun. Univ. of China, Beijing, China
Volume
3
fYear
2010
fDate
22-24 June 2010
Abstract
The region descriptor and template update strategy are the keys of object tracking algorithm. In the paper, we proposed an adaptive template update method based on region covariance descriptor to track the object in a complex circumstance using particle filter. We experimented the proposed approach on people in video sequences, and experimental results show that this method has better performance.
Keywords
covariance matrices; image sequences; object detection; particle filtering (numerical methods); target tracking; adaptive template update; covariance tracking algorithm; object tracking; particle filter; region covariance descriptor; region descriptor; video sequences; Computer vision; Covariance matrix; Electronic mail; Lighting; Particle filters; Particle tracking; Robustness; Shape; Surface resistance; Video sequences; adaptive template update; object tracking; particle filter; region covariance matrix;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Computer (ICETC), 2010 2nd International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-6367-1
Type
conf
DOI
10.1109/ICETC.2010.5529563
Filename
5529563
Link To Document