Title :
Tracking and Counting People in Complex Environment
Author :
Xue, Liqin ; Wang, Shuqing ; Zhang, Xiujuan
Author_Institution :
Shandong Univ. of Sci. & Technol., Qingdao
Abstract :
Tracking and counting multiple humans in complex situations is challenging. The difficulties are tackled with appropriate knowledge in the form of various models in our approach. Human motion is decomposed into its global motion and limb motion. Multiple human objects were segmented and their global motions were tracked in 3D using ellipsoid human shape models. An improved method aiming to estimate accurately the counts of people in a scene without constraining to individuals in complicated scene was proposed. Accurately estimate peoples which have an arbitrary shape or those due to dense crowds moving arbitrarily in a scene was discussed as well.
Keywords :
feature extraction; image motion analysis; image segmentation; tracking; 3D tracking; ellipsoid human shape models; feature extraction; human motion decomposition; limb motion; multiple human object segmentation; Automatic control; Ellipsoids; Humans; Intelligent systems; Layout; Monitoring; Motion estimation; Safety; Shape; Tracking;
Conference_Titel :
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3893-8
Electronic_ISBN :
978-1-4244-3894-5
DOI :
10.1109/IWISA.2009.5073224