Electronics and Telecommunications Research Institute

Young Kyu Yang

Min Soo Kim

Ho Sub Yoon

Seong Ik Cho

Jung Soh

Kyung Ok Kim

Young Jae Lim

Jae Choon Chon

Byoung Woo Oh

Byung Woo Min

Disclosed is a virtual navigation system using a moving image. The system comprises an input section for inputting a command information such as a departure point and a destination each related to a traveling route; a traveling route estimating section for reading the traveling route from the departure point to the destination, which is inputted by the input section, from stored data to estimate an optimum traveling route; a traveling route processing section for processing the moving image for a road and surroundings around the road of the traveling route estimated by the traveling route estimating section; an information processing section for searching moving image data and spatial data each related to the road and the surroundings under control of the traveling route processing section; a storing section for storing road data shown in a map, and the moving image data and the spatial data related to the road and the surroundings.

Virtual navigation system and method using moving image

An apparatus for calculating optical flow and camera motion using correlation matching and a system model in a moving image, in which the calculation of the optical flow is executed accurately in real time, even when an image rotation or zoom change has occurred. The apparatus comprises a feature point extracting section for extracting a feature point of a sequence of input images (previous image and current image); an optical flow calculating section for calculating an optical flow by use of the feature point extracted by the feature point extracting section; a first camera motion calculating section for calculating a camera motion by use of the optical flow calculated by the optical flow calculating section; a second camera motion calculating section for eliminating an incorrect optical flow from the optical flow calculated by the optical flow calculating section and again calculating camera motion; an optical flow location estimating section for estimating a location of the optical flow by estimating a distance difference between an estimated feature point location and a current feature point location in the previous image according to the camera motion calculated by the second camera motion calculating section; and a weighted value calculating section for calculating a weighted value according to the camera motion calculated by the second camera motion calculating section and providing the weighted value to the optical flow calculating section.

Apparatus for calculating optical flow and camera motion using correlation matching and system model in moving image

An image retrieval system and method using an image histogram for determining central points and dispersion values as well as quantity information of color about respective histogram bins, thereby using these as mapping information for image retrieval. The image retrieval method using an image histogram includes the following steps. A first step of computing an image histogram bin when an image is inputted, and accumulating values of x, y, x , y to compute central points and dispersion values. A second step of normalizing the respective central points and dispersion values through dividing these by size of whole image, and storing these. A third step of generating a value of model to be retrieved by drawing a feature vector when a query image is inputted, and computing the difference between the generated value of model and central points and dispersion values of an image histogram, count, and number of corresponding bins within the data stored in the second step. A fourth step of specifying a similarity value of an image using the values computed in the third step.

Image retrieval system and method using image histogram

Growing community of inventors

Taejon, South Korea

Young Kyu Yang