Abstract
This paper presents a technique of real time head gesture recognition system. The primary objective is to implement system that can detect the movement of the head in different directions. The method comprises Gaussian mixture model GMM for background subtraction accompanied by optical flow algorithm, which contributed us the required information respecting head movement. An idea is given regarding the intensity variation between the frames of inputted video. This variation in intensity is used to determine the optical flow and the sum of the velocity vectors of the foreground image. Using the median filter to remove noise from an image, such noise reduction is a typical pre-processing step to improve the results of later processing. In our experiments, we tried to determine the movement of the head in different directions: left, right, up and down.
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Chraa Mesbahi, S., Mahraz, M.A., Riffi, J., Tairi, H. (2018). Head Gesture Recognition Using Optical Flow Based Background Subtraction. In: Ben Ahmed, M., Boudhir, A. (eds) Innovations in Smart Cities and Applications. SCAMS 2017. Lecture Notes in Networks and Systems, vol 37. Springer, Cham. https://doi.org/10.1007/978-3-319-74500-8_18
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