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Results |
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Original Video |
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Extracted Keyframes |
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The next 12 videos show results from applying the algorithm to a sequence of actions. First the keyframes are selected and then the match is shown using one person from the database. We had perfect recognition,even in the presence of occlusions. |


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1. Composite Video 1 |
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Original Video |
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Extracted Keyframes |
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Best Match from Database using Phase Correlation and Viterbi |


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2. Composite Video 2 |
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Best Match from Database using Phase Correlation and Viterbi |


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3. View Change |
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Original Video |
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Extracted Keyframes |
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Best Match from Database using Phase Correlation and Viterbi |


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4. Occlusions |
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Original Video |
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Extracted Keyframes |
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Best Match from Database using Phase Correlation and Viterbi |
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Our technique works on videos like this: demomovie. We are now experimenting with a few known movies. |
Computer Vision |
Perception and Representation |
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We are also measuring and modeling human subjects' perceptual representations of characteristics or styles of a movement/action or of its performer -- for a given action "verb" (e.g., walking), the "adverbs" and "adjectives" in a movement grammar. We are able to obtain consistent measures for even very subtle, complex visual judgments of movement, such as the "attractiveness" of a gait and, further, to quantitatively relate such perceptual dimensions with others, such as for the discrimination of gender from movement. |
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The Grammars of Human Behavior |
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PIs : Yiannis Aloimonos & Ken Nakayama |
A project funded by the National Science Foundation (HSD) |