A ROS-based stereo vision system designed for tennis ball tracking and analysis
This ROS-based stereo vision system was developed for tennis ball tracking and analysis, demonstrating advanced computer vision techniques in robotics applications. The system utilizes stereo cameras to provide depth perception and real-time object detection capabilities.
The project implements sophisticated computer vision algorithms including object detection, tracking, and 3D position estimation. It's designed to work within the Robot Operating System (ROS) framework, making it easily integrable with other robotic systems and applications.
The system can track tennis balls in real-time, providing position data, velocity estimation, and trajectory prediction. This makes it suitable for sports analysis, robotic tennis applications, or any scenario requiring precise object tracking in 3D space.
Tennis ball tracking for performance analysis, coaching, and automated sports statistics collection.
Integration with robotic systems for automated ball collection, training robots, or interactive games.
Platform for testing and developing new computer vision algorithms for object tracking and 3D reconstruction.
Educational tool for teaching computer vision, robotics, and stereo vision concepts.