Video object tracking: ping-pong balls

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SUMMARY

This discussion focuses on implementing video object tracking for analyzing the trajectory and spin of a ping-pong ball using a stationary camera. The user plans to utilize OpenCV, a powerful computer vision library, to facilitate the analysis. Key techniques mentioned include color differentiation for tracking, frame-by-frame analysis for motion detection, and basic depth perception calculations based on (x,y) coordinates and the ball's apparent size. The user also considers using AutoHotKey for automating the analysis process.

PREREQUISITES
  • Familiarity with OpenCV for computer vision tasks
  • Understanding of basic video processing techniques
  • Knowledge of programming in scripting languages
  • Concepts of depth perception in 3D space
NEXT STEPS
  • Research OpenCV functions for object tracking and motion analysis
  • Learn about color space transformations for effective object detection
  • Explore algorithms for calculating object trajectory and spin
  • Investigate methods for calibrating camera placement for accurate depth perception
USEFUL FOR

This discussion is beneficial for computer vision enthusiasts, students working on video analysis projects, and developers interested in implementing object tracking algorithms using OpenCV.

awvvu
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I'm interested in determining the trajectory and spin of a ping-pong ball for a project for class. I plan on getting a decent resolution video camera and record the ball (with the camera stationary). Afterward, I'll analyze the video on my computer.

My question is: what kind of algorithm can I get more (detailed) information about so I can go about implementing it myself? What kind of things should I search for to find more information? I have a lot of experience programming (in script languages though), so I think I can pull it off. I realize it's not an easy task though. (and it's really not a big deal if I can't get it to work).

I think if I color the ball a really distinctive and bright color (and do some sort of striping to be able to analyze its spin), it wouldn't be terribly hard to do. I can probably do it a brute-force and slow way by analyzing frame-by-frame and comparing it with previous ones, but I'd like some suggestions before I start hacking away at it.

I also reckon I'll have to figure out how to implement some basic depth perception, but I think that can be determined from knowing the (x,y) coordinates on frame and the apparent size of the ball. Then with some calibration based on my video camera placement, I can approximate its coordinates in three dimensions.

(I wasn't sure which forum to place this in exactly.)

edit: Hrm, I just found a library for computer vision, opencv, which looks like it'll be useful for this.
 
Last edited:
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One, this should be in technology.
Two, you could get a macro (AutoHotKey is great and free) and have it do it the slow way. Logger Pro may have a setup to do it.
 

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