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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/72187

    Title: 人臉偵測與追蹤及人眼偵測;Face Detection and Tracking with Pupil Orientation Estimation
    Authors: 黃南雄;Huang,Nan-Syong
    Contributors: 資訊工程學系
    Keywords: 人臉;追蹤;瞳孔;偵測;Tracking;Pupils;Detection
    Date: 2016-08-05
    Issue Date: 2016-10-13 14:31:05 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 人臉辨識中,如何正確取得人臉位置是一個重要的研究,因此我
    及角度上進一步的修正,這部分實驗在BioID 臉部影像資料庫以及自
    己建立AIPR LAB 人臉影片資料庫。更進一步,我們比較了我們以及
    其他的方法,在結果上有著顯著的正確率以及穩定性。;Face-locating in videos is an important issue in face recognition.
    Therefore, we propose a solution which combines tracking and detecting
    methods in order to find and recognize the face regions. In face recognition,
    there are many researches about face perception such as emotion,
    gaze estimation, identity analysis,etc. Our research we focus on the gaze
    estimation in the visible light due to the visible cameras are universal
    devices everywhere. This technology can be applied on many different
    situations. For example, to alert the driver while he/she is not driving
    carefully; to show Ads where the passengers are looking at on the lcd ad
    board. Those are widely used applications nowadays. Some researches
    have been proposed for that such as calculate by gradients or by curvature,
    etc. However, sometimes it is possible to detect non-eye regions
    by those methods. The non-eye regions might be hair or eyebrow. To
    avoid those problems we propose a algorithm to correct the location of
    eyes. The algorithm includes skin detections, haar cascade classifier,
    face alignment and a correction based on conjunctive eye movements.
    We test our result on BioID image database and our video samples. Finally,
    we compare our proposed algorithm to other methods, and ours
    has better performance with high accuracy and robustness.
    Appears in Collections:[資訊工程研究所] 博碩士論文

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