近年來,人類的科技技術越來越發達,在居家生活環境,已從傳統的居家環境已逐漸形成家庭數位化環境。傳統的家庭影音設備利用了紅外線遙控器或是鍵盤及滑鼠等硬體設備執行影像播放的操控,其操控方式不便及複雜化。本論文研究將利用手勢影像辨識技術控制數位影音搜尋播放之應用,其手勢影像辨識技術以往利用紅外線攝影機或是3D手套追蹤方式進行手勢影像辨識,其辨識方式卻往往要使用者需繁雜及高成本的設備,因此本系統將利用手指辨識攝影機輸入手勢影像,透過背景相減法的技術將影像中的目標擷取出來,接著利用影像形態學,將擷取出的目標進行雜訊的去除及缺口的填補,之後修補完的影像進行手指數目的辨識,執行相對應的回饋機制。因而這項技術可以讓手指數目辨識之外,也可以降低所需的設備繁雜性,整合於數位影音搜尋播放也可以輕易的操作。
In recent years, the rapid development of science and technology. Human living environment has gradually digitized. The traditional home audio and video equipment using infra-red remote control, keyboard, mouse and other hardware implementation of video playback control. This thesis will use the gesture image recognition technology control playback and search of digital audio and video, the gesture image recognition technology use of infrared cameras to track or 3D gesture glove image recognition. This method is usually complex and expensive; therefore the system will use background subtraction techniques to extract the target image, and then repair the gap using image morphology and removal the noise. Video broadcast feedback mechanism using the corresponding number of fingers. The research simplifies the control and convenience of control the video playback.