Nippon Telegraph and Telephone Corporation

Kenichiro Ishii

Akira Tomono

Megumu Tsuchikawa

Atsushi Sato

Toshiki Iso

Hideki Koike

Satoshi Shimada

In a dictionary image generating section, images of objects each belonging to any one of L categories are taken by a camera from predetermined M directions, a matching region of the object to be recognized is extracted from each of the object images, and dictionary images (N&equals;L&times;M, n&equals;1, 2, . . . , N) which are the representatives of combinations of direction and category are generated and stored together with the directions of the objects. When a test image is given, the degree of similarity r(n, X, Y) between an n-th dictionary image and the image region at the matching position (X, Y) in the test image is computed by a matching section. This matching process is repeated with the matching position (X, Y) and the number n of the dictionary image being varied, and the matching position (X,, Y,) where the degree of similarity r(n) becomes the highest is detected.

Object image detecting method and system

A moving object extraction based on background subtraction capable of stably extracting the moving object under various environments. Temporal changes of image feature parameter values for sub-regions subdividing a frame of each input image are stored, and the background image is reconstructed by statistically processing a temporal change of the image feature parameter values for each sub-region within a prescribed target region of the frame over a prescribed period of time to obtain the statistical quantity characterizing that temporal change, judging whether that temporal change is due to an illumination change or not according to the obtained statistical quantity and a prescribed illumination change judging condition, and updating a background image value for each sub-region by a new background image value according to the image feature parameter values for each sub-region during the prescribed period of time. Then, a subtraction processing is applied to one of the input images and the reconstructed background image, and a binarization processing is applied to the obtained subtraction image so as to extract the moving object region from the input images.

Method and apparatus for moving object extraction based on background

A scheme for directional counting of moving objects capable of counting moving objects stably while determining passing directions of the moving objects accurately. In this scheme, a counting line is set in an image field of the sequential images, and a dynamic image formed by pixels forming the counting line is obtained for each frame and while a succesively updated background image is obtained. Then, a subtraction and binarization processing are applied to the dynamic image and the background image to extract a moving object region, and a moving object image is formed by sequentially labeling the moving object region in time order. Then, a number of moving objects passing through a monitoring target location is counted according to the moving object image, while upper and lower direction judgement regions are set above and below the counting line and a passing direction of each moving object is determined by judging one of the upper and lower direction judgement regions in which the moving object is present at a time of a formation start/end time of the moving object image.

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Kanagawa-ken, Japan

Kenichiro Ishii