A Study on Efficient Learning Units for Behavior-Recognition of People in Video
Author(s) -
Ickhwan Kwon,
Hadjer Boubenna,
Jeong Yong Lee
Publication year - 2017
Publication title -
journal of korea multimedia society
Language(s) - English
Resource type - Journals
eISSN - 2384-0102
pISSN - 1229-7771
DOI - 10.9717/kmms.2017.20.2.196
Subject(s) - computer science , artificial intelligence , computer vision , cognitive neuroscience of visual object recognition , smart phone , object (grammar) , drone , frame (networking) , realization (probability) , event (particle physics) , video tracking , 3d single object recognition , object detection , sliding window protocol , window (computing) , machine learning , pattern recognition (psychology) , telecommunications , statistics , physics , mathematics , quantum mechanics , biology , genetics , operating system
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