Video Tracking Kinematics

This Python Notebook allows you to perform a video tracking of an object and obtain its kinematic information such as displacement, speed and acceleration.

🔰 How does it work?

• The code uses OpenCV library
• User must upload the video.
• Some information is obtained from the video (FPS, duration, resolution)
• The first frame of the video is extracted in order to create a reference line to convert the pixel data into measurement units (i.e. cm).
• The reference line is created with a mouse_callback event where the pixel coordinates of the start and end point of the reference line are used for the unit conversion. For a correct measure, the video must have a reference guide such as a flexometer or ruler. The user must be knonw the real distance (cm, inches, etc) of the reference line. The current code is based on X direction but it could be modify to Y direction.

• In the next step, the user must create a bounding box around the object to be tracked.

• After creating the bounding box the tracking process will start. Whenever the program succeeds in tracking, a green message "Tracking" will appear, otherwise a red message "Lost" will be displayed.

• When the video ends, all the kinematics of the object's movement are calculated.
  • Displacement
  • Speed
  • Acceleration
• Based on the quality and FPS of the video, the data could have some noise. This is treated by two methods
  • Savitzky–Golay filter
  • Spline Interpolation
• The results obtained are compared with the video data processed in the Tracker software

🔶 What is next?

• Improve the accuracy of the kinematics data.
• Perform the same analysis for live videos.