By Topic

Physics-based modelling of human motion using Kalman filter and collision avoidance algorithm

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Perse, M. ; Fac. of Electr. Eng., Ljubljana Univ., Slovenia ; Pers, J. ; Kristan, M. ; Kovacic, S.
more authors

The paper deals with the problem of computer vision based multi-person motion tracking, which in many cases suffers from lack of discriminating features of observed persons. To solve this problem, a physics based model of human motion is proposed, which includes internal forces of the persons by the means of the Kalman filter, and the cylindrical envelopes, which produce collision avoiding forces when observed persons come to close proximity. We tested the proposed method on two sequences, one from squash match, and the other from the basketball play and found out that the number of tracker mistakes significantly decreased.

Published in:

Image and Signal Processing and Analysis, 2005. ISPA 2005. Proceedings of the 4th International Symposium on

Date of Conference:

15-17 Sept. 2005