11.9: Computer Vision: Blob Tracking with Persistence - Processing Tutorial

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United States The Coding Train
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Published on ● Video Link: https://www.youtube.com/watch?v=r0lvsMPGEoY


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Tutorial
Duration: 40:21
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In this Computer Vision video, I develop a "blob persistence" algorithm. I assign IDs to each detected blob and track its position over time.

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Links discussed in this video:
Previous Blob Detection video: https://youtu.be/1scFcY-xMrI

Source Code for the Video Lessons: https://github.com/CodingTrain/Rainbow-Code

p5.js: https://p5js.org/
Processing: https://processing.org

For More Computer Vision videos: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6aG2RJHErXKSWFDXU4qo_ro

For More Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH

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Tags:
coding
rainbow
live
processing
p5.js
processing tutorial
tutorial
creative coding
daniel shiffman
p5js
p5.js tutorial
computer vision
object oriented programming
blob detection
pixel analysis
object tracking
vision
computer vision (field of study)
detection
machine vision
blob
tracker
color tracking
pixels
blob detection persistence
blob tracking persistence
blob ids