The real-time detection and recognition ability of human action recognition in a video
surveillance system is a key problem in an intelligent surveillance system. Because the …

Aiming at the defects in the performance of three-dimensional convolutional residual
network in surveillance video data sets, this paper proposes a three-dimensional …

With the improvement of computer computing power and storage capacity, the emergence of
massive data makes the methods based on human action feature detection and recognition …

Video surveillance has played a huge role in the safety and security tasks of various places
for many years, and its application range is also expanding. The core problem that needs to …

Concerning the problem that the existing algorithm for human behavior recognition cannot
fully utilize the multi-level spatio-temporal information of network, a human behavior …

The research of abnormal behavior recognition is critical to personal and property security.
In this paper, a 3D-CNN and Long Short-Term Memory (LSTM) based abnormal behavior …

Aiming at the problems of low detection accuracy and slow processing speed of crowd
abnormal behavior in public places, this paper proposes a method of crowd abnormal …

Aiming at the problem that the existing human behavior recognition algorithm cannot fully
utilize the multi-level spatio-temporal information of the network, a human behavior …

In recent years, abnormal human behavior recognition has become an attractive research
topic of computer vision due to the rapid growth of demand to monitor human activities on …

In order to further improve the accuracy of the video-based behavior recognition method, an
effective behavior recognition method in the video session using convolutional neural …