Title :
Improved Camshift Tracking Algorithm Based on Silhouette Moving Detection
Author :
Zou, Tengyue ; Tang, Xiaoqi ; Song, Bao
Author_Institution :
Sch. of Mech. Sci., Huazhong Univ. of Sci. & Tech., Wuhan, China
Abstract :
Camshift is an efficient object tracking algorithm using color probability distribution. But it´s easy to be interfered by the similar color objects in the background. So we bring in the motion characteristics extracted by the motion template method, and then make an improved Camshift algorithm. Experiments show that the improved algorithm has more robustness in dealing with color interference and sudden illumination variation.
Keywords :
feature extraction; image colour analysis; image denoising; motion estimation; object tracking; statistical distributions; Camshift tracking algorithm; Silhouette moving detection; color object interference; color probability distribution; motion characteristics extraction; motion template method; object tracking algorithm; sudden illumination variation; Color; Image color analysis; Lighting; Probability distribution; Robustness; Target tracking; Camshift; Motion template; Silhouette; Tracking;
Conference_Titel :
Multimedia Information Networking and Security (MINES), 2011 Third International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-1795-6
DOI :
10.1109/MINES.2011.16
