• Title/Summary/Keyword: brightness-adjusted matching

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Shot Boundary Detection Algorithm by Compensating Pixel Brightness and Object Movement (화소 밝기와 객체 이동을 이용한 비디오 샷 경계 탐지 알고리즘)

  • Lee, Joon-Goo;Han, Ki-Sun;You, Byoung-Moon;Hwang, Doo-Sung
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.5
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    • pp.35-42
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    • 2013
  • Shot boundary detection is an essential step for efficient browsing, sorting, and classification of video data. Robust shot detection method should overcome the disturbances caused by pixel brightness and object movement between frames. In this paper, two shot boundary detection methods are presented to address these problem by using segmentation, object movement, and pixel brightness. The first method is based on the histogram that reflects object movements and the morphological dilation operation that considers pixel brightness. The second method uses the pixel brightness information of segmented and whole blocks between frames. Experiments on digitized video data of National Archive of Korea show that the proposed methods outperforms the existing pixel-based and histogram-based methods.

Recognition of Car License Plates using Intensity Variation and Color Information (명암변화와 칼라정보를 이용한 차량 번호판 인식)

  • Kim, Pyeoung-Kee
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.12
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    • pp.3683-3693
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    • 1999
  • Most recognition methods of car licence plate have difficulties concerning plate recognition rates and system stability in that restricted car images are used and good image capture environment is required. To overcome these difficulties, I proposed a new recognition method of car licence plates, in which both intensity variation and color information are used. For a captured car image, multiple candidate plate-bands are extracted based on the number of intensity variation. To have an equal performance on abnormally dark and bright Images. plate lightness is calculated and adjusted based on the brightness of plate background. Candidate plate regions are extracted using contour following on plate color pixels in oath plate band. A candidate region is decided as a real plate region after extracting character regions and then recognizing them. I recognize characters using template matching since total number of possible characters is small and they art machine printed. To show the efficiency of the proposed method, I tested it on 200 car images and found that the method shows good performance.

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