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Lighting errors from 8 years ago

A project log for Auto tracking camera

A camera that tracks a person & counts reps using *AI*.

lion-mclionheadlion mclionhead 01/08/2019 at 06:390 Comments

With the sun facing the camera, the lion kingdom remembered abandoning quad copters flown by machine vision 6 years ago because of the extremely perfect lighting conditions required.  Today's 12 figure valuations are based on the exact same level of errors.  There hasn't been any improvement at all in the lighting requirements.

Finding corner cases would continue once a night, when the lighting was suitable & the lion was fresh.  Detecting hip flexes with the rear leg remaned the hardest problem.  There was requiring the ankles to be different heights, requiring the longest leg to be longer than the back, debouncing reps.  The framerate was never high enough to throw out false images, but it could throw out reps which happened too close together.  The profile camera view was never solved.  You always have to face the camera.  Squats, situps, & pushups were all bulletproof, however.

As much as openpose accomplishes with video alone, 3D pose estimation is really needed.  It's such a practical need, it's hard to believe kinekts never became ubiquitous rep counters & camera trackers, except for the cost.

As long as you manually select the exercise, it can be quite scaleable.  One could imagine ordinary humans setting it up in a gym & using it to count a wide variety of exercises.

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