Efficient activity recognition using lightweight CNN and DS-GRU network for surveillance applications
Recognizing human activities has become a trend in smart surveillance that contains several challenges, such as performing effective analyses of huge video data streams, while maintaining low computational complexity, and performing this task in real-time. Current activity recognition techniques are...
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Published in | Applied soft computing Vol. 103; p. 107102 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.05.2021
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Subjects | |
Online Access | Get full text |
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