文章基本信息

标题：Intelligent Systems that Emerges ‘Visual Generic Object Recognition’
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作者：Mansi Patel
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2018
卷号：6
期号：11
页码：8811-8817
DOI：10.15680/IJIRCCE.2018. 0611045
出版社：S&S Publications
摘要：Visual Object Recognition is the base of many Machine Learning Models and Artificial Intelligence Models. Object Recognition deals with identifying the object given and learn to identify the new same object with the knowledge of the previously given object by grouping the same kind of objects to one category. Generic Object Recognition tends to detect the general objects from the given image i.e. person. while Specific Object Recognition detects the more specific objects i.e. Nelson Mandela. The Visual Generic Object Recognition requires the object representation, the training technique, and the object detection technique. This paper describes an introduction to the object recognition, representation of the generic objects, detection of the generic object, and one intelligent system - face detector.
关键词：Artificial Intelligence; Machine Learning; Generic Object Recognition; Feature Extraction; Face Detector; Intelligent Systems; Object Classification; Object Detection; Haar Feature