• Journal of Korea Multimedia Society
• /
• v.13 no.7
• /
• pp.983-990
• /
• 2010

The image processing technique is very sensitive to the variation of external environment, so it tends to lose a lot of accuracy when the external environment changes rapidly. In this paper, we propose a vehicle detecting and tracking system for crime prevention suitable for an external environments with various changes using the image processing technique. Because the vehicle camera detector for crime prevention extracts and tracks the vehicle within one lane, it is important to classify a characteristic region rather than the contour of a vehicle. The proposed system detects the entrance of the vehicle using optical flow and tracks the vehicle by classifying the headlights, the bonnet, the front-window and the roof area of the vehicle. Experimental results show that the proposed method is robust to the environmental changes such as type, speed and time of a vehicle.

• Proceedings of the Korea Multimedia Society Conference
• /
• 2001.11a
• /
• pp.713-717
• /
• 2001

본 논문에서는 MPEG 비디오에 대한 워터마킹 알고리즘에 대하여 알아보고자 한다. 디지털 워터마크는 저작권 보호를 위하여 개발된 기법으로 디지털 데이터에 보이지 않도록 저작권 정보를 삽입하는 방범이다. 따라서 디지털 동영상에 대해서도 지적 재산권 보호가 가능하며, MPEG의 비트 스트링에 삽입하는 워터마크에 대해서 다양한 방법으로 성능분석을 하고자 한다.

• Journal of the Korea Society of Computer and Information
• /
• v.10 no.1 s.33
• /
• pp.223-229
• /
• 2005

In this paper a coarse-to-fine optical flow detection method is proposed. Provided that optical flow gives reliable approximation to two-dimensional image motion, it can be used to recover the three-dimensional motion, but usually to set the reliable optical flows are difficult. The proposed algorithm uses Horn's algorithm for detecting initial optical flow, then Thin Plate Spline is introduced to warp a image frame of the initial optical flow to the next image frame. The optical flow for the warped image frame is again used iteratively until the mean square error between two image sequence frames is lowered. The proposed method is experimented for the real moving picture image sequence. The proposed algorithm gives dense optical flow vectors.