Video anomaly detection is a significant problem in computer vision that aims to detect
unusual or abnormal behaviors in video data that can be used to enhance public safety …

Human pose prediction, interchangeably known as human pose forecasting, is a daunting
endeavor within computer vision. Owing to its pivotal role in many advanced applications …

Among the major public transportation systems in cities, bus transit has its problems,
including more accuracy and reliability when estimating the bus arrival time for riders. This …

In recent years, smart video surveillance (SVS) systems have become essential in
maintaining public safety and security, particularly in smart city environments. We propose …

In recent years, active object tracking (AOT), which is a distinct technology from passive
target tracking, has made significant advances in the field of artificial intelligence. AOT aims …

Addressing public safety effectively requires incorporating diverse stakeholder perspectives,
particularly those of the community, which are often underrepresented compared to other …

This dissertation presents the systematic design and development of datasets, algorithms,
and an AI pipeline specifically curated for real-time trajectory prediction and anomaly …

This paper adopts a microservice architecture to design an intelligent monitoring system for
rail transit platforms. The system relies on high-definition video surveillance and utilizes …

Human pose prediction, interchangeably known as human pose forecasting, is a daunting
endeavor within computer vision. Owing to its pivotal role in many advanced applications …

In low-light conditions, object detection algorithms suffer from reduced accuracy due to
factors like noise and insufficient information. Current solutions often involve a two-stage …