Title :
Tracking human motion using multiple cameras
Author :
Cai, Q. ; Aggarwal, J.K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Abstract :
Presents a framework for tracking human motion in an indoor environment from sequences of monocular grayscale images obtained from multiple fixed cameras. Multivariate Gaussian models are applied to find the most likely matches of human subjects between consecutive frames taken by cameras mounted in various locations. Experimental results from real data show the robustness of the algorithm and its potential for real time applications
Keywords :
image sequences; human motion; indoor environment; monocular grayscale images; multivariate Gaussian models; tracking; Cameras; Computer vision; Contracts; Gray-scale; Humans; Indoor environments; Monitoring; Robustness; Shape; Tracking;
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-8186-7282-X
DOI :
10.1109/ICPR.1996.546796
