Build notes
This computer-vision toolkit combines two experiments that both deal with imperfect video input. One tracks hand movement using template matching and compares Kalman and alpha-beta filters for stabilizing the estimated motion.
The other experiment detects and reads license plates from shaky footage. Python ties the pipeline together, with OpenCV handling image operations and TensorFlow supporting the recognition work.