Learning Temporal Regularity in Video Sequences

Perceiving meaningful activities in a long video sequence is a challenging problem due to ambiguous definition of 'meaningfulness' as well as clutters in the scene. We approach this problem by learning a generative model for regular motion patterns (termed as regularity) using multiple sou...

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Bibliographic Details
Main Authors: Hasan, Mahmudul, Jonghyun Choi, Neumann, Jan, Roy-Chowdhury, Amit K., Davis, Larry S.
Format: Conference Proceeding
Language:English
Subjects:
Computational modeling
Convolutional codes
Encoding
Feature extraction
Neurons
Trajectory
Visualization
Online Access:Request full text
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