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Derinlik Bilgisi Kullanılarak İnsan Hareketlerinin Tanınması 

Keçeli, Ali Seydi (Fen Bilimleri Enstitüsü, 2014)
Human action recognition using depth sensors is an emerging technology especially in game console industry. Depth information provides 3D robust features about environments and increases accuracy of action recognition in ...

Deep Learnıng Archıtectures for Collectıve Actıvıty Recognıtıon 

Zalluhoğlu, Cemil (Fen Bilimleri Enstitüsü, 2019-09-30)
Collective activity recognition, which analyses the behavior of groups of people in videos, is an essential goal of video surveillance systems. In this thesis, we proposed three new solutions and one novel dataset for the ...
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AuthorKeçeli, Ali Seydi (1)Zalluhoğlu, Cemil (1)Subject
Action recognition (2)
Attention mechanism (1)Collective activity recognition (1)Convolutional neural networks (1)Long short term memory (LSTM) (1)Multi-task learning (1)... View MoreDate Issued2014 (1)2019 (1)Has File(s)Yes (2)

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