Simple Moving Object Tracking Implementation

This article describes a simple moving object tracking program that utilizes computer vision techniques to track a ball in real-time. The core functionality involves monitoring the ball's position and velocity through frame-by-frame analysis, typically implemented using background subtraction algorithms and centroid calculation methods. The system employs blob detection techniques to identify the spherical object and calculates motion parameters using differential positioning between consecutive video frames. Additionally, the program records comprehensive motion data including acceleration and rotational velocity through temporal differentiation and optical flow analysis. These datasets are essential for further kinematic analysis and research, enabling deeper understanding of motion patterns and physical characteristics. The implementation generally involves OpenCV functions for image processing and mathematical computations for trajectory prediction. In summary, this program provides a practical tool for kinematics and physics research, featuring real-time processing capabilities and quantitative motion analysis.