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COUNTING NUMBER OF PEOPLE IN DIGITAL IMAGES USING FACE AND PEOPLE DETECTION ALGORITHMS

BROWSE_DETAIL_CREATION_DATE: 11-07-2016

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BROWSE_DETAIL_TYPE: Thesis

BROWSE_DETAIL_SUB_TYPE: Masters

BROWSE_DETAIL_PUBLISH_STATE: Unpublished

BROWSE_DETAIL_FORMAT: PDF Document

BROWSE_DETAIL_LANG: English

BROWSE_DETAIL_SUBJECTS: TECHNOLOGY, Communication of technical information,

BROWSE_DETAIL_CREATORS: Husain, Samar Ittahir M.A (Author),

BROWSE_DETAIL_CONTRIBUTERS: Koyuncu, Murat (Advisor),

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 Counting People, Face Detection, People Detection, Skin Color, Viola Jones LBP, Viola Jones CART, Histogram of Oriented Gradients, Support Vector Machine.  


BROWSE_DETAIL_TAB_ABSTRACT

Counting the number of people in still images or video frames is an active research area that is a challenge in the computer vision field. It plays an important role in a variety of applications, such as security, management, education, and commerce. In this thesis, we work on counting the number of people in digital images. People can be seen differently in images, which requires the use of different techniques together. Therefore, we use two different techniques, which are Face Detection method and People Detection method, in order to estimate the number of people in an image. The proposed method combines the outputs of the Face Detection and People Detection methods in order to improve the performance of estimating the number of people in an input image with low cost and simple hardware. We test three face detection algorithms (Skin Color, Viola Jones LBP and Viola Jones CART) and a People Detection method (whole body) which is based on the HOG feature and SVM classifier to determine the best combination to estimate the number of people in input images. We use 240 test images including 1,202 people from two different datasets (Groups of Images of People and INRIA Person) to test the proposed system and determine the best combination. We have obtained best Recall of 91% and Precision of 93.97% by combining Viola Jones CART with People Detection method whereas by applying Face Detection and People Detection methods (whole body) separately, we got best Recall of 70.38% and Precision of 92.76% by Viola Jones CART method


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