Motion Detection for Human Body in Video
MATLAB-based implementation for detecting moving human bodies in video sequences, featuring clear and understandable code structure
Frame Difference Method for Video Image Acquisition and Moving Object Detection
Implementation of video frame reading and motion target detection using the frame difference method. This approach involves comparing consecutive frames to identify moving objects through pixel-level analysis, suitable for real-time applications.
Road Sign Recognition Implementation Case Study
An application example of road sign recognition technology that enables fast detection and classification of various traffic signs, demonstrating practical implementation approaches with code-related insights.
Implementation of Harris Corner Detector Algorithm
MATLAB implementation of Harris Corner Detector for feature point detection in images, including gradient computation, structure tensor analysis, and non-maximum suppression techniques.
Detecting Circular Objects Using Freeman Chain Code
Implementing Circular Object Detection with Freeman Chain Code Algorithm and Code Implementation Details
Lane Line Detection Using Hough Transform
Implementation of lane line detection using MATLAB's built-in Hough(), houghlines(), and houghpeaks() functions with parameter tuning for optimal performance
Moving Object Detection and Tracking
Detection and tracking of moving objects within video sequences through computer vision algorithms
Matched Filter Detection
Implementing signal detection using matched filter algorithms with code-level implementation insights
Face Recognition and Detection
Implementing Face Recognition and Detection Using MATLAB Code
MATLAB Simulation Programs for Radar System Design
Simulation forms the foundation of successful modern radar system design, and no software excels better in this domain than MATLAB. This code repository provides essential MATLAB programs for radar system simulation, covering fundamental topics including: radar basics introduction, radar detection algorithms, waveform generation techniques, ambiguity function analysis, pulse compression implementation, surface and volume clutter modeling, moving target indication (MTI) and clutter suppression methods, phased array systems, target tracking algorithms, electronic countermeasures (ECM), radar cross section (RCS) calculations, high-resolution tactical synthetic aperture radar (SAR), and signal processing techniques. The package includes MATLAB files and practical simulation experience necessary for effective radar system design and analysis.