Abstract: A procedure is presented to detect changes in a video sequence based on the Viola & Jones Method to obtain images of faces of persons; videos are taken of the web. The software allows to obtain images or frames separated from nose, mouth, and eyes but the case of the eyes is taken as an example. Change detection is done by using correlation and the Harris detector. The correlation results allow us to recognize changes in position in the person or movement of the camera if the individual remains fixed and vice versa. It is possible to analyze a part of the face thanks to the Harris detector; It is possible with detected reference points to recognize very small changes in the video sequence of a particular organ; such as the human eye, even when the image is of poor quality as is the case of videos downloaded from the Internet or taken with a low-resolution camera.

Rodolfo Romero Herrera, Francisco Gallegos Funes and José Elias Romero Martínez, “Video Analysis with Faces using Harris Detector and Correlation” International Journal of Advanced Computer Science and Applications(IJACSA), 10(8), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100839

@article{Herrera2019,
title = {Video Analysis with Faces using Harris Detector and Correlation},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100839},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100839},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {8},
author = {Rodolfo Romero Herrera and Francisco Gallegos Funes and José Elias Romero Martínez}
}