Activity recognition using dense long-duration trajectories

Activity recognition using dense long-duration trajectories

10.1109/ICME.2010.5583046

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Bibliographic Details
Main Authors: Sun, J., Mu, Y., Yan, S., Cheong, L.-F.
Other Authors: ELECTRICAL & COMPUTER ENGINEERING
Format: Conference or Workshop Item
Published: 2014
Subjects:
Action recognition
Computer vision
Motion trajectories
Motion understanding
Tracking
Video analysis
Online Access:http://scholarbank.nus.edu.sg/handle/10635/69154
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Institution: National University of Singapore
Description
Summary:10.1109/ICME.2010.5583046

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