Scholarly Article
The System for Estimating the Number of People in Digital Images Based on Skin Color Face Detection Algorithm
Samar Ittahir, Tarik Idbeaa, Hisham Ogorban
2022-04-25 · AlQalam Journal of Medical and Applied Sciences · University of Tripoli Alahlia
Abstract
Counting the number of people in many estimation systems, such as still images or video frames, is a buoyant research area that is challenging in the field of computer vision. It plays a considerable role in a variety of applications, such as security, management, education, and commerce. The purpose of this paper is to suggest a system to estimate the number of people in digital still images based on the Face Detection method. This system composed of two parts: face detection and counting of detected faces. In the detection step, the Skin Color Face Detection method was applied on the input of a digital still image. In the counting part, the obtained detected faces by the Skin Color Face Detection method have counted to estimate the number of people in an input color image with simple software and simple low-cost hardware. The skin color face detection algorithm was tested using 133 images from the People Image Groups dataset, which contains about 2573 color images of people, to test the proposed system. based on the obtained results, the best precision achieved of the proposed Skin Color face detection algorithm was 85%
Keywords
Face Detection, Skin Color, Face Recognition, Pattern Recognition
Citation Details
AlQalam Journal of Medical and Applied Sciences, Vol. 5, No. 1, pp. 215-225