Object detection methods have achieved remarkable performances when the training and
testing data satisfy the assumption of iid However, the training and testing data may be …

Video anomaly detection (VAD) is the core problem of intelligent video surveillance.
Previous methods commonly adopt the unsupervised paradigm of frame reconstruction or …

Nowadays, it is still a great challenge to detect and locate indoor humans using a frequency-
modulated continuous-wave radar accurately. Due to the interference of the indoor …

Effective fall detection is a critical component of indoor health monitoring for individuals. The
most widely used wearable devices are not convenient, especially for the elderly. Another …

Recognizing violence in videos is significant for the automatic identification and assessment
of violence content to restrict the access to violence for specific audiences such as children …

Accidental falls are the second leading cause of accidental death of the elderly. Early
intervention measures can reduce the problem. However, so far, there are few related …

This study proposes an innovative fall detection system that leverages the capabilities of
depth sensors and a Convolutional Neural Network (CNN) model. The objective is to …

The falling-and sliding-down (fall) accidents among the elderly are a major concern due to
the potential to cause significant functional damage. This demands immediate medical care …

Patients with mental disorders often exhibit risky abnormal actions, such as climbing walls or
hitting windows, necessitating intelligent video behavior monitoring for smart healthcare with …

Real-time object detection in underground coal mine is a crucial task in the development of
AI-assisted supervision systems. Due to the complex environment of the underground coal …