Human activity recognition (HAR) technology that analyzes data acquired from various types
of sensing devices, including vision sensors and embedded sensors, has motivated the …

Anomaly detection in video surveillance is a highly developed subject that is attracting
increased attention from the research community. There is great demand for intelligent …

Human activity recognition (HAR) is a complex and multifaceted problem. The research
community has reported numerous approaches to perform HAR. Along with HAR …

An approach to accurately recognize various Yoga asanas using deep learning algorithms
has been presented in this work. A dataset of six Yoga asanas (ie Bhujangasana …

This work is motivated by the tremendous achievement of deep learning models for
computer vision tasks, particularly for human activity recognition. It is gaining more attention …

Real-time detection of humans is an evolutionary research topic. It is an essential and
prominent component of various vision based applications. Detection of humans in real-time …

Human-robot teams collaborating to achieve tasks under various conditions, especially in
unstructured, dynamic environments will require robots to adapt autonomously to a human …

Although the applications of artificial intelligence especially deep learning have greatly
improved various aspects of intelligent manufacturing, they still face challenges for broader …

Video-based human activity recognition (HAR) is an active and challenging research area in
the field of computer vision. The presence of camera motion, irregular motion of humans …

Shoplifting is a troubling and pervasive aspect of consumers, causing great losses to
retailers. It is the theft of goods from the stores/shops, usually by hiding the store item either …