Pose-based anomaly detection is a video-analysis technique for detecting anomalous
events or behaviors by examining human pose extracted from the video frames. Human …

Anomaly detection in pedestrian walkways is a vital research area that uses remote sensing,
which helps to optimize pedestrian traffic and enhance flow to improve pedestrian safety in …

In recent years, the rapid development of deep learning has led to a wide range of
applications in the field of medical image classification. The variants of neural network …

Crowd management has become an integral part of urban planning in abnormality in the
crowd and predict its future issues. Big data in social media is a rich source for researchers …

Identification of sugarcane stem nodes is generally dependent on high-performance
recognition equipment in sugarcane seed pre-cutting machines and inefficient. Accordingly …

The use of video surveillance systems has increased due to security concerns and their
relatively low cost. Researchers are working to create intelligent Closed Circuit Television …

The propagation of fake news in online social networks nowadays is becoming a critical
issue. Consequently, many mathematical models have been proposed to mimic the related …

Anomaly detection in pedestrian walkways of visually impaired people (VIP) is a vital
research area that utilizes remote sensing and aids to optimize pedestrian traffic and …

Abnormal behavior methods have attempted to reduce execution time, computational
complexity, efficiency, robustness against pixel occlusion, and generalizability. This …

Detecting anomalies in crowd scenes holds a critical task in automated video inspection to
prevent any casualties in the regions that witness the higher quantity of footfalls. The main …