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I'll try a simple approach, based on this paper [1]:

  1. The LBP histogram describing the open eyes is constructed
  2. Eye blinks are detected as sharp peaks of the dissimilarity between the template and the histogram of the current frame

[1] Malik, K., & Smolka, B. (2014, April). Eye blink detection using Local Binary Patterns. In Multimedia Computing and Systems (ICMCS), 2014 International Conference on (pp. 385-390). IEEE.

In order to build the LBP histogram of the eyes, you can use these other posts:

  • Open eyes / closed eyes in Opencv

  • how can I align Face Images

  • Facial feature detection

  • Facial features detection using haarcascade

  • Are there any new ways to improve eye detection?