Title :
Real-time periodic motion detection, analysis, and applications
Author :
Cutler, Ross ; Davis, Larry
Author_Institution :
Maryland Univ., College Park, MD, USA
Abstract :
We describe a new technique to detect and analyze periodic motion as seen from both a static and moving camera. By tracking objects of interest, we compute an object´s self-similarity as it evolves in time. For periodic motion, the self-similarity measure is also periodic, and we apply time-frequency analysis to detect and characterize the periodic motion. A real-time system has been implemented to track and classify objects using periodicity. Examples of object classification, person counting, and non-stationary periodicity are provided
Keywords :
image classification; image segmentation; motion estimation; real-time systems; motion detection; non-stationary periodicity; object classification; periodic motion; person counting; Image analysis; Image motion analysis; Image resolution; Image sequences; Legged locomotion; Motion analysis; Motion detection; Object detection; Testing; Tracking;
Conference_Titel :
Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on.
Conference_Location :
Fort Collins, CO
Print_ISBN :
0-7695-0149-4
DOI :
10.1109/CVPR.1999.784652
