IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Online ISSN : 1745-1337
Print ISSN : 0916-8508
Recent Advances in Video Action Recognition with 3D Convolutions
Kensho HARA
著者情報
ジャーナル フリー 早期公開

論文ID: 2020IMP0012

この記事には本公開記事があります。
詳細
抄録

The performance of video action recognition has improved significantly in recent decades. Current recognition approaches mainly utilize convolutional neural networks to acquire video feature representations. In addition to the spatial information of video frames, temporal information such as motions and changes is important for recognizing videos. Therefore, the use of convolutions in a spatiotemporal three-dimensional (3D) space for representing spatiotemporal features has garnered significant attention. Herein, we introduce recent advances in 3D convolutions for video action recognition.

著者関連情報
© 2020 The Institute of Electronics, Information and Communication Engineers
feedback
Top