Summary and Info
We describe a real-time computer vision and machine learning system for modeling and recognizing human behaviors in a visual surveillance task . The system is particularly concerned iviih detecting when interactions between people occur, and classifying the type of interaction. Examples of interesting interaction behaviors include following another person, altering one's path to meet another, and so forth.Our system combines top-down with bottom-up information in a closed feedback loop, with both components employing a statistical Bayesian approach. We propose and compare two different state-based learning architectures, namely HMMs and CHMMs. for modeling behaviors and interactions. The CHMM model is shown to work much more efficiently and accurately.Finally, to deal with the problem of limited training data, a synthetic 'Alife-style' training system is used to develop flexible prior models for recognizing human interactions. We demonstrate the ability to use these a priori models to accurately classify real human behaviors and interactions with no additional tuning or training.
More About the Author
Oliver Norvell "Babe" Hardy (born Norvell Hardy; January 18, 1892 – August 7, 1957) was an American comic actor famous as one-half of Laurel and Hardy, the classic double act that began in the era of silent films and lasted 25 years, from 1927 to 1951. He appeared with his comedy partner Stan Laurel in 107 short films, feature films, and cameo roles.
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