Gaze-Assisted Multi-Stream Deep Neural Network for Action Recognition
There are two important aspects in human action recognition. The first one is how to locate the area that better indicates what the subjects in the videos are doing. The second one is how we can utilize the appearance and motion information from the video data. In this paper, we propose a gaze-assis...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2017-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8039490/ |