O. F. Ince, I. Ince, Jangsik Park, Jongkwan Song, B. Yoon
{"title":"CHILD AND ADULT CLASSIFICATION USING BIOMETRIC FEATURES BASED ON VIDEO ANALYTICS","authors":"O. F. Ince, I. Ince, Jangsik Park, Jongkwan Song, B. Yoon","doi":"10.5281/zenodo.890712","DOIUrl":null,"url":null,"abstract":"As the number of social insecurity in regard to social crimes is on its rise, it requires a CCTV camera a higher accuracy in detecting the objects including pedestrians for efficient work of catching criminals. As the importance of the function of pedestrian detection is socially agreed upon, more studies on image and video based pedestrian detection have been conducted. In terms of that, the goal of this study is classification of pedestrian in two categories as a child and an adult. In this study, Haar cascade classifiers are used. This method first detects a full body and a head. Then, it measures the biometry given the relative proportioning length of a full body and a head. Moving average algorithm is used to obtain threshold ratio. Experimental results show the accuracy 100% for children and 64.5% for adults.","PeriodicalId":53608,"journal":{"name":"ICIC Express Letters, Part B: Applications","volume":"46 1","pages":"819-825"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICIC Express Letters, Part B: Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5281/zenodo.890712","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 1
Abstract
As the number of social insecurity in regard to social crimes is on its rise, it requires a CCTV camera a higher accuracy in detecting the objects including pedestrians for efficient work of catching criminals. As the importance of the function of pedestrian detection is socially agreed upon, more studies on image and video based pedestrian detection have been conducted. In terms of that, the goal of this study is classification of pedestrian in two categories as a child and an adult. In this study, Haar cascade classifiers are used. This method first detects a full body and a head. Then, it measures the biometry given the relative proportioning length of a full body and a head. Moving average algorithm is used to obtain threshold ratio. Experimental results show the accuracy 100% for children and 64.5% for adults.
期刊介绍：
The ICIC Express Letters, Part B: Applications (abbreviated as ICIC-ELB) is a peer-reviewed English language journal of research and surveys on Innovative Computing, Information and Control, and is published by ICIC International monthly. The primary aim of the ICIC-ELB is to publish timely quality short papers (generally no more than 8 printing pages) with emphasis on applications of established or new developed novel techniques, approaches and methodologies of computing systems, intelligent systems, information processing, and automation and control systems.
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