Human activity recognition (HAR) aims to recognize activities from a series of observations
on the actions of subjects and the environmental conditions. The vision‐based HAR …

The advances of Visual object tracking tasks in computer vision have enabled a growing
value in its application to video surveillance, particularly in a traffic scenario. In recent years …

In this paper, we propose a multi-level cooperative fusion approach to address the online
multiple human tracking problem in a Gaussian mixture probability hypothesis density (GM …

Human Action Recognition (HAR) for CCTV-oriented applications is still a challenging
problem. Real-world scenarios HAR implementations is difficult because of the gap between …

Tracking-by-detection is one of the typical paradigms for multi-person tracking, due to the
availability of automatic pedestrian detectors. However, existing multi-person trackers are …

An enhanced sequential Monte Carlo probability hypothesis density (PHD) filter-based
multiple human tracking system is presented. The proposed system mainly exploits two …

Multi-vehicle tracking is crucial in many applications, such as traffic surveillance, intelligent
transportation systems, and advanced driver assistance systems. Most conventional multi …

Detecting and preventing unusual claims behavior in medical insurance can reduce the
drawdown of a group medical insurance pool. Taking the case of the urban employee basic …

LiDAR-based pedestrian detection and tracking (PDT) with high-resolution sensing
capability plays an important role in real-world applications such as security monitoring …

Human activity anomaly detection plays a crucial role in the next generation of surveillance
and assisted living systems. Most anomaly detection algorithms are generative models and …