MATLAB Code Implementation for Moving Target Detection

This article explores how to implement moving target detection using MATLAB code. Moving target detection represents a crucial domain in computer vision, enabling the identification of mobile objects through frame-by-frame analysis of video sequences. We focus particularly on techniques for extracting and processing video frames, along with algorithm optimization strategies to enhance both detection accuracy and computational efficiency. The discussion covers common moving target detection algorithms including background subtraction methods (using functions like vision.ForegroundDetector), optical flow techniques (implemented with opticalFlowHS or opticalFlowLK objects), and frame differencing approaches – examining their respective advantages, limitations, and selection criteria for specific applications. Furthermore, we demonstrate practical implementation through MATLAB's Computer Vision Toolbox functions such as VideoReader for frame extraction and vision.BlobAnalysis for object characterization. Finally, we address real-world applications including traffic monitoring systems, security surveillance solutions, and autonomous navigation systems, providing code structure examples for handling video input preprocessing, detection algorithm parameter tuning, and result visualization using insertShape and insertText functions.