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Volumn 16, Issue 1, 2002, Pages 443-446
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Probabilistic motion parameter models for human activity recognition
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Author keywords
[No Author keywords available]
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Indexed keywords
MAXIMUM LIKELIHOOD ESTIMATION PROBLEM;
PARAMETER MODELS;
VIDEO SEQUENCES;
ACTIVITY RECOGNITION;
CONTINUOUS DENSITY HIDDEN MARKOV MODELS;
DYNAMIC CHANGES;
HUMAN ACTIVITIES;
HUMAN ACTIVITY RECOGNITION;
MOTION PARAMETERS;
PROBABILISTIC MODELING;
APPROXIMATION THEORY;
MATHEMATICAL MODELS;
MAXIMUM LIKELIHOOD ESTIMATION;
MOTION ESTIMATION;
OPTIMIZATION;
PROBABILITY;
HIDDEN MARKOV MODELS;
MARKOV PROCESSES;
MAXIMUM LIKELIHOOD;
TRELLIS CODES;
VIDEO RECORDING;
PATTERN RECOGNITION;
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EID: 0141817661
PISSN: 10514651
EISSN: None
Source Type: Conference Proceeding
DOI: None Document Type: Article |
Times cited : (36)
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References (10)
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