From the past few decades, Human activity recognition (HAR) is one of the vital research
areas in computer vision in which much research is ongoing. The researcher's focus is …

Recognition of human activities is an essential field in computer vision. The most human
activity consists of the interaction between humans and objects. Many successful works …

Human action recognition is one of the most important topics in computer vision. Monitoring
elderly people and children, smart surveillance systems and human-computer interaction …

Following the popularisation of media streaming, a number of video streaming services are
continuously buying new video content to mine the potential profit from them. As such, the …

How to extract and integrate spatiotemporal information for video classification is a major
challenge. Advanced approaches adopt 2D, and 3D convolution kernels, or their variants as …

Recognition of activities in the video is an important field in computer vision. Many
successful works have been done on activity recognition and they achieved acceptable …

Still image action recognition is generally challenging, despite the considerable progress of
convolutional neural networks in image classification. The absence of motion cues in still …

In this paper a human physical fitness action feature dataset named HSiPu2 is introduced,
which contains 8,044 action data sequences and 80,440 images. The dataset is built for …

Most current few-shot action recognition approaches follow the metric learning paradigm,
measuring the distance of any sub-sequences (frames, any frame combinations or clips) …

ABSTRACT A HAR can be a significant test in different applications, counting human–
computer connectivity. Hence, in this paper, developing an efficient background subtraction …