Developing Viola Jones' algorithm for detecting and tracking a human face in video file

Ansam Nazar Younis, Fawziya Mahmood Ramo · IAES International Journal of Artificial Intelligence · 2023

Face detecting and tracking in video clips is very important in many areas of daily life. All institutions, public departments, streets, and large stores use cameras from a security point of view, and detecting and tracking human faces is necessary for indexing and preserving information concerning the visual media. This paper presents a novel method for hybridizing the Viola_Jones face detection algorithm to track and identify a human face in video sequences. The method represents a combination of Viola Jones' algorithm with a measured normalized cross-correlation (NCC) algorithm with a template matching method using the Manhattan distance measure equation in the video between successive sequences After that, the fuzzy logic method is added in comparing the image of the face to be detected with the images of templates taken in the proposed algorithm, which increased the accuracy of the results, which reached 99.3%.

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