Implementation of Vehicle Counting Functionality
Vehicle counting system where the counter increments by 1 each time a vehicle passes through the virtual detection zone in the video stream.
Motion Detection for Human Body in Video
MATLAB-based implementation for detecting moving human bodies in video sequences, featuring clear and understandable code structure
Wheeled Robot Trajectory Tracking with MATLAB Implementation
Implementation of wheeled robot trajectory tracking using MATLAB, including source code and generated demonstration video, featuring kinematic modeling and control algorithm development.
New Three-Step Search Algorithm for Video Motion Estimation
A novel three-step search method for video motion estimation, including source code implementation and experimental data analysis.
Video Object Tracking Using MeanShift Algorithm with Semi-Automatic Implementation
Implementation of moving object tracking in video sequences using the MeanShift algorithm. Features manual target region selection via MATLAB's imcrop function for semi-automatic tracking, including algorithmic workflow and key function explanations.
Video Image Segmentation Using Optical Flow Method
This implementation utilizes the Lucas-Kanade algorithm for motion estimation, developed in MATLAB. The choice of MATLAB was strategic since it provides built-in matrix operation functions, eliminating the need for custom implementation and significantly reducing development time while preserving core algorithmic concepts.
Gaussian Mixture Model Video Background Extraction (MATLAB Implementation)
MATLAB implementation of GMM-based video background extraction, featuring a custom implementation of OpenCV's cvCreateGaussianBGModel function with detailed algorithm explanations and code structure.
Moving Object Detection and Tracking
Detection and tracking of moving objects within video sequences through computer vision algorithms
Video Object Tracking in MATLAB Using Frame-by-Frame Analysis
MATLAB implementation for video object tracking through sequential frame processing, featuring background subtraction, thresholding, and blob analysis techniques