MATLAB Implementation of Motion Video Detection with Object Tracking and Trajectory Display
- Login to Download
- 1 Credits
Resource Overview
Detailed Documentation
Motion video detection is an algorithm implemented in MATLAB that enables tracking of colored objects and displays their movement trajectories. This algorithm analyzes pixel variations within video frames to detect moving objects and accurately track their positions and paths. The implementation typically involves background subtraction techniques, color segmentation using RGB/HSV color space processing, and motion vector calculation. Key MATLAB functions employed may include VideoReader for video input, vision.ForegroundDetector for motion detection, and vision.PointTracker for object tracking. Through this method, we can better understand object motion patterns, with applications spanning video surveillance systems, sports motion analysis, and behavioral study research. The code structure generally follows a pipeline approach: frame acquisition -> background modeling -> foreground detection -> object tracking -> trajectory plotting using MATLAB's plotting functions.
- Login to Download
- 1 Credits