DocumentCode :
2682558
Title :
Finding periodicity in space and time
Author :
Liu, Fang ; Picard, Rosalind W.
Author_Institution :
Media Lab., MIT, Cambridge, MA, USA
fYear :
1998
fDate :
4-7 Jan 1998
Firstpage :
376
Lastpage :
383
Abstract :
An algorithm for simultaneous detection, segmentation, and characterization of spatiotemporal periodicity is presented. The use of periodicity templates is proposed to localize and characterize temporal activities. The templates not only indicate the presence and location of a periodic event, but also give an accurate quantitative periodicity measure. Hence, they can be used as a new means of periodicity representation. The proposed algorithm can also be considered as a “periodicity filter”, a low-level model of periodicity perception. The algorithm is computationally simple, and shown to be more robust than optical flow based techniques in the presence of noise. A variety of real-world examples are used to demonstrate the performance of the algorithm
Keywords :
image segmentation; image sequences; image texture; characterization; periodicity filter; periodicity representation; periodicity templates; real-world examples; segmentation; spatiotemporal periodicity; Character recognition; Energy measurement; Image motion analysis; Image sequences; Legged locomotion; Noise robustness; Object detection; Optical noise; Space technology; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 1998. Sixth International Conference on
Conference_Location :
Bombay
Print_ISBN :
81-7319-221-9
Type :
conf
DOI :
10.1109/ICCV.1998.710746
Filename :
710746
Link To Document :
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