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
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;
Conference_Titel :
Education Technology and Computer (ICETC), 2010 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-6367-1
DOI :
10.1109/ICETC.2010.5529563
