Explore MATLAB source code curated for "运动目标" with clean implementations, documentation, and examples.
This repository contains a fully tested implementation of the complete gait recognition pipeline. The code covers video frame extraction, background modeling, moving object detection, morphological processing (dilation/erosion and connectivity analysis), size normalization, gait energy image construction, PCA dimensionality reduction, and LDA classification.
A program implementation for motion target detection utilizing motion regions and external bounding rectangles with background subtraction algorithms
Utilizing the JPDA data association algorithm to establish correlations between point traces and tracks of two uniformly moving targets, with key function implementations including probability calculation and assignment optimization
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.
Utilizing the PAST subspace tracking algorithm for monitoring moving targets with circular array configuration - capable of effectively tracking multiple moving targets with robust noise resistance
Vehicle Motion Target Detection involves identifying and tracking moving cars using computer vision techniques, with applications in traffic management, autonomous vehicles, and surveillance systems. This article explores technical implementation methods including image processing algorithms and machine learning models.