Joint temporal segmentation and classification of user activities in egocentric videos

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United States of America Patent

PATENT NO 9830516
SERIAL NO

15203862

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Abstract

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Embodiments disclose methods, systems and non-transitory computer readable medium for joint temporal segmentation and classification of user activities in an egocentric video. The method includes extracting low-level features from a live dataset based on predefined feature categories; determining at least one activity change frame from the egocentric video frames based on the extracted features; dividing the live dataset into partitions based on the activity change frame, each partition begins with a candidate frame; computing a recursive cost function at the candidate frame of each partition based on dynamic programming; determining a beginning time instant of the candidate frame based on the computation; segmenting the live dataset into multiple segments based on the determined time instant; identifying at least one activity segment that corresponds a user activity using a trained activity model based on multiple instance learning approach; and simultaneously associating a predefined activity label with the identified activity segment.

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Patent Owner(s)

Patent OwnerAddress
YEN4KEN INC157 BROADMEAD STREET PRINCETON 08540

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Biswas, Arijit Kolkata, IN 83 838
Biswas, Sovan Kolkata, IN 11 44
Deshmukh, Om D Bangalore, IN 42 394
Gandhi, Ankit Raipur, IN 17 56

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