Mixed-State Models for Nonstationary Multiobject Activities
<p/> <p>We present a mixed-state space approach for modeling and segmenting human activities. The discrete-valued component of the mixed state represents higher-level behavior while the continuous state models the dynamics within behavioral segments. A basis of behaviors based on generic...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2007-01-01
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Series: | EURASIP Journal on Advances in Signal Processing |
Online Access: | http://asp.eurasipjournals.com/content/2007/065989 |