Recommender systems suggest potentially relevant content by evaluating user preferences and are essential in reducing ...

Abstract: Human action recognition (HAR) remains a challenging topic in computer vision, attracting extensive research for applications in surveillance, sports, and human-computer interaction.

This paper proposes a multi-modal deep learning framework for Arabic Sign Language (ArSL) recognition, addressing the challenges of both static and dynamic gesture recognition. The framework ...

Agents use facial recognition, social media monitoring and other tech tools not only to identify undocumented immigrants but also to track protesters, current and former officials said. By Sheera ...

AI-generated summary reviewed by our newsroom. Read our AI Policy. Wegmans deployed facial recognition cameras in some stores. The store uses facial recoginition to identify people “previously flagged ...

Human action recognition in still images is a fundamental computer vision task with applications in surveillance, human-computer interaction, content-based image retrieval, and assistive technologies.

Abstract: Skeleton-based human action recognition has attracted significant attention. However, the skeleton spatial invariance and temporal context modeling are recent challenges for most existing ...