Analysys method for video stream data using evolutionary particle filtering

PURPOSE: An analysis method for video stream data using evolutionary particle filtering is provided to analyze multi-modal video stream in real time, by extracting dependency relation of video stream. CONSTITUTION: A video stream analysis system generates a particle set showing dominant feature for the video stream data and divides video stream data into segment sets(S1110, S1120). The system performs evolutionary particles filtering the segment set(S1130). The system converts the filtered particle set into a transition probability matrix, by estimating sequence-dependent structure for the filtered particle set(S1140). [Reference numerals] (AA) Start; (BB) End; (S1110) Generate a particle set for video stream data; (S1120) Divide the video stream data to segments using the particle set; (S1130) Perform evolutionary particle filtering for the segment set; (S1140) Convert into a transition probability matrix by estimating a sequence-dependent structure