Abstract:
PURPOSE: A movement object extraction image processing method is provided to renew a background model based on the presumed image change value, thereby reducing a residue image phenomenon. CONSTITUTION: An image processing device calculates change between current image information and previous image information, and generates an inter-image comparison value(S100). The image processing device uses the image comparison value of adjacent image units, and presumes the image change value(S200). The image processing device uses the presumed image change value, and extracts the partial image information of a moving object from the current image information(S300). The image processing device reflects the current image information with the extracted partial image information of the moving object to the previously modeled background model information(S400). [Reference numerals] (AA) Start; (BB) End; (S100) Generate an inter-image comparison value; (S200) Presume a first image variable value; (S300) Separate image information; (S400) Update a background model
Abstract:
PURPOSE: A method for recognizing a fingerprint is provided to protect an original feature point from a fingerprint by adding a plurality of fake fingerprints. CONSTITUTION: A reference feature point(310) is selected from the extracted original feature point. A feature shape is formed based on the information of the selected reference feature point. A space between feature points(330) is calculated by determining the number of fake feature points to be added to the shape. A fingerprint template is generated by adding the fake feature points with the calculated space.
Abstract:
본 발명은 방범 시스템에 관한 것으로, 영상 촬영 장치를 통해 촬영된 촬영 영상이 현장 제어 장치에 입력되면 해당 촬영 영상에서 이벤트가 발생하는지를 체크하고, 이벤트가 발생하지 않은 경우 네트워크 전송 용량에 따라 축소 인코딩된 촬영 영상을 실시간으로 전송하여 출력하거나, 이벤트가 발생한 경우 해당 촬영 영상에 대한 이벤트 정보, 클리핑 영상 및 축소 인코딩된 촬영 영상을 전송하고, 이러한 이벤트 발생에 따른 이벤트 경보를 원격 관제 장치에서 출력하며, 해당 클리핑 영상 및 촬영 영상을 출력함으로써, 고해상도 영상을 출력할 수 있는 방범 시스템을 쉽게 구축할 수 있는 것이다.