In order to solve the problem of behavior recognition in short video, this paper first proposes
a key frame extraction algorithm based on mutual information entropy, which uses sliding …

In order to solve the problem of action recognition in short video and capture the key
information of video, this paper first proposes a KGAF-means method for key frame …

In video behavior recognition, making full use of the spatio-temporal information contained
in video frame is the critical point to further improve the recognition accuracy. In our study …

To solve the problem of inadequate expression of action behavior features, this paper
proposes an action recognition method based on attention mechanism. Firstly, in the feature …

Aiming at the problem of large difference in similar action classes, small difference between
classes in action video and low recognition accuracy, a action recognition method based on …

At present, action recognition is a challenging task in the field of computer vision. Traditional
action recognition methods cannot fully extract the spatiotemporal features of actions in …

Due to the rich content of video data and the excessive parameters of 3D convolutional
networks, how to reduce the difficulty of parameter tuning and reduce the training time is a …

In this paper, a video action recognition method is developed based on the C3D neural
network and the support vector machine. Rather than directly input the considered video …

In this paper, we propose a novel approach to recognize human actions. Action recognition
from videos has not been addressed extensively and effectively, primarily due to the …

Aiming at the problem of complex feature extraction and low accuracy in human action
recognition, this paper proposed a network structure combining batch normalization …