Action recognition is a video understanding task that is carried out to recognize an action of
an object in a video. In order to recognize the action, it is necessary to extract motion …

In this paper, we propose an efficient, fast, and easy-to-implement method for recognizing
human actions in depth image sequences. In this method, the human body silhouettes are …

Autonomous vehicles (AVs) have the potential to revolutionize transportation. However,
ensuring passenger safety within these vehicles in the absence of a dedicated onboard …

Many action recognition methods require significant computational resources to achieve
good results on unedited videos. However, their performance on infrared videos, which …

RGB video-based action recognition has many application scenarios due to its rich and
abundant appearance information for accurate and robust performance. In recent years …

Despite being extensively used in numerous uses, precise and effective human activity
identification continues to be an interesting research issue in the area of vision for …

The security and safety of the general public is ensured by the use of intelligent video
surveillance systems in a variety of applications to monitor events and evaluate activities …

Human activity recognition (HAR) is the examination of gestures and actions of humans from
various resources such as depth or RGB cameras. In this work, we have designed a …

Video-based surveillance systems often suffer from poor-quality video in an uncontrolled
environment. This may strongly affect the performance of high-level tasks such as visual …

The growth of video content in recent years is a challenging problem due to increased
memory storage and time consuming for analyzing content of the video. Therefore, there is a …