Although widely used in many applications, accurate and efficient human action recognition
remains a challenging area of research in the field of computer vision. Most recent surveys …

Device-free activity recognition plays a crucial role in smart building, security, and human–
computer interaction, which shows its strength in its convenience and cost-efficiency …

Video action recognition is one of the representative tasks for video understanding. Over the
last decade, we have witnessed great advancements in video action recognition thanks to …

Analyzing videos of human actions involves understanding the temporal relationships
among video frames. State-of-the-art action recognition approaches rely on traditional …

Human behavior recognition has always been a hot spot for research in computer vision.
With the wide application of behavior recognition in virtual reality and short video in recent …

Human Action Recognition (HAR) is the classification of an action performed by a human.
The goal of this study was to recognize human actions in action video sequences. We …

Recent years have witnessed the popularity of using recurrent neural network (RNN) for
action recognition in videos. However, videos are of high dimensionality and contain rich …

Contrastive learning has revolutionized the self-supervised image representation learning
field and recently been adapted to the video domain. One of the greatest advantages of …

This paper proposes a deep hashing framework, namely, unsupervised deep video hashing
(UDVH), for large-scale video similarity search with the aim to learn compact yet effective …

Person Re-Identification (Re-Id) in occlusion scenarios is a challenging problem because a
pedestrian can be partially occluded. The use of local information for feature extraction and …