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Computer Vision
Real Time Object Recognition
Detecting and tracking moving objects in video streams using computer vision techniques.
Project Overview
A project focused on identifying and isolating moving objects from static backgrounds in video sequences, crucial for surveillance and traffic monitoring.
Technologies Used
PythonOpenCVBackground Subtraction
Methodology
- 1Applying background subtraction algorithms (e.g., MOG2, KNN).
- 2Contour detection and analysis for object localization.
- 3Tracking object movement and calculating trajectories.
- 4Handling noise and false positives in dynamic environments.
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