ARTIFICIAL INTELLIGENCE ALGORITHMS FOR REAL-TIME OBJECT TRACKING AND TRAJECTORY ANALYSIS BASED ON VIDEO DATA

Abstract

The study presents artificial intelligence (AI) algorithms for tracking objects in realtime
and analyzing their trajectories using video data. These algorithms are designed to
detect, classify, and monitor moving objects in various environments, including crowded
public spaces and dynamic urban settings. By applying machine learning techniques and
computer vision methods, the proposed system enhances accuracy and efficiency in realtime
object detection and trajectory prediction. The results indicate that AI-based
approaches significantly improve monitoring capabilities, reduce human intervention, and
enable predictive analysis of object movements for security, traffic management, and
autonomous systems applications.