Abstract: A method for tracking multiple image objects, includes resampling particles from each of the image objects tracked in a previous image, calculating respective weights of the resampled particles, and predicting and tracking locations of the image objects in a current image based on values obtained by multiplying the locations of the particles by corresponding weights, wherein when an image object of the previous image has a neighboring image object located within a threshold distance, weights of the particles sampled from the image object are calculated by multiplying image values of the current image by penalties, which are values of distances between the corresponding particles and the neighboring image object. The method is capable of avoiding a hijacking problem in which identifiers of nearby objects are confused with each other or disappear during the tracking of multiple objects.

Abstract: A method for tracking multiple image objects, includes resampling particles from each of the image objects tracked in a previous image, calculating respective weights of the resampled particles, and predicting and tracking locations of the image objects in a current image based on values obtained by multiplying the locations of the particles by corresponding weights, wherein when an image object of the previous image has a neighboring image object located within a threshold distance, weights of the particles sampled from the image object are calculated by multiplying image values of the current image by penalties, which are values of distances between the corresponding particles and the neighboring image object. The method is capable of avoiding a hijacking problem in which identifiers of nearby objects are confused with each other or disappear during the tracking of multiple objects.

Abstract: The present invention relates to an extraction method for multi-touch feature information and a recognition method for multi-touch gestures using the multi-touch feature information, and more specifically, to the extraction method for multi-touch feature information and recognition method for multi-touch gestures using the multi-touch feature information, wherein: multi-touch feature information, which does not depend on the number of touch points, is extracted; and the accuracy in gesture recognition is improved by using the extracted multi-touch feature information.

Abstract: A moving robot and moving object detecting method and medium thereof is disclosed. The moving object detecting method includes transforming an omni-directional image captured in the moving robot to a panoramic image, comparing the panoramic image with a previous panoramic image and estimating a movement region of the moving object based on the comparison, and recognizing that a movement of the moving object exist in the estimated movement region when the area of the estimated movement region exceeds the reference area.