People count estimation using hybrid face detection method
A.S. Neethu, S. Athi Narayanan, Kamal Bijlani · 2016
People counting systems have wide range of applications and it is a difficult task in image processing. Face detection techniques are widely used to count the presence of people in an image. In this paper we present a hybrid face detection method for people count by combining three efficient face detection methods - Normalized Pixel Difference (NPD) , haar classifier and haar classifier for profile face. NPD is a scale invariant method and its performance is good in difficult backgrounds and low illuminations. A combination of these three face detectors are used in order to improve the accuracy and to reduce false detections. Experimental results shows that our proposed hybrid method effectively count the number of people and reduced the false detection rates. The accuracy of the proposed method is up to 90.20%.