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ICIP
2000
IEEE

Higher-Order Spectral Analysis of Human Motion

14 years 11 months ago
Higher-Order Spectral Analysis of Human Motion
We describe a higher-orderspectralanalysis-basedapproach for detecting people by recognizing human motion such as walking or running. The periodic attribute of human motion lends itself to efficient spectral inspection. In the proposed method, the stridelengthis determined in every frame asthe image sequenceevolves. The bispectrum which is the Fourier transform of the triple correlation is a robust indicator of presence of periodicity. Triple correlation is robust as it is immune to any symmetricallydistributed noise. The method is successfully tested on real video sequences.
A. N. Rajagopalan, Rama Chellappa
Added 25 Oct 2009
Updated 25 Oct 2009
Type Conference
Year 2000
Where ICIP
Authors A. N. Rajagopalan, Rama Chellappa
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