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Object-class detection : ウィキペディア英語版 | Object-class detection
Object class detection is a computer technology that deals with detecting objects of a certain class (such as humans, buildings, or cars) in digital images and videos. Well-researched domains of object class detection include face detection and pedestrian detection. Object class detection has applications in many areas of computer vision, including image retrieval and video surveillance. == Applications == It is used in face detection and face recognition. It is also used in tracking objects, for example tracking a ball during a football match, tracking movement of a cricket bat, tracking a person in a video.
抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Object-class detection」の詳細全文を読む
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