文章基本信息

标题：DEVELOPING A HIGH PERFORMANCE REAL TIME PEOPLE DETECTION SYSTEM
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作者：HILAL ADNAN FADHIL ; AHMAD B. ALKHODRE ; HAITHAM ALYOUSEF 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2015
卷号：78
期号：2
出版社：Journal of Theoretical and Applied
摘要：A lot of research has been conducted to detect people within images and video frames, Our goal in this research is to develop a protection system against thefts, by analyzing video frames incoming from surveillance cameras, and running early alarm to discover, detecting thieves in real time. Theft has many damages in the community. Failure in putting strategies for preventing theft has caused material, moral and psychological harm to the humans. All new technology comes to find rest and stability for the humans, by monitoring the properties especially when the owners are absent or far away. Now days the presence of cameras becomes very essential for monitoring places, it limits from theft , burglary, for this reason we have seen lot of theft occurs when a power outage. We want to prevent theft, narrowing the time for robbers and confusing them during robbery ,not only to alleviate its effects or pursuing criminals and disclosure them, this arrangements require more efforts and calling the police�etc. Our primary goal is for deterring criminals, we need achieving a preventive policy. In this research we could get a high rate of classification equivalent to 96% of detected humans in implementation time of approximately 0.5 seconds. Within this article, we will review the previous studies which had been done for discovering, detecting the humans and the steps which performed effectively are beside what enhancements we've made for. in summary ,we will review the obtained optimal values of the used parameters and analyze them .
关键词：Object Detection; Real Time Human Detection; Real Time ANTI-THEFT System; SURVEILLANCE System; People Detection; Background Removal In Video