Abstract: An apparatus detecting motion in image data by compressing and encoding and a method thereof. The motion detecting apparatus has a separation unit, an operation unit and a comparison unit. The separation unit separates a bit stream in relation to a motion predicted image from a compressed encoded image bit stream. The operation unit calculates an average value of the bit stream in relation to the motion predicted image separated at the separation unit. The comparison unit detects a motion when the average value is greater than a predetermined threshold after comparing the average value and the threshold. Thus, because a motion in an input image can be detected by using a compressed encoded image bit stream, a separate circuit or input image processing is not required to detect the motion and adverse affects of camera noise on the detection results can be reduced.

Abstract: A method for controlling a camera using an image compression algorithm. A motion region and a motionless region are determined with respect to an input image based on a motion vector of a macro block which is for the generation of compressed data from the input image. A center value and a size of a moving object is estimated from the motion region. According to the center value and the size of the moving object, the camera is controlled to track and photograph the moving object. Accordingly, a central processing unit of the moving object tracking system is relieved of substantial processing load, and the processing speed of the system is improved.

Abstract: An automatic moving object tracking device and a method thereof are capable of tracking a moving object through a signal process of an input image signal of each frame. The moving object tracking device converts a pre-processed input image signal into a binary disturbance image signal, and calculates a motion value of each pixel through an initial tracking window. After locating the tracking window at the pixel where the motion value is a maximum value, a size of the tracking window is adjusted so that the tracking window can include the moving object therein. Next, based on acquired information about the moving object and the tracking window and previously acquired information about previously frames, a pixel in a following frame is estimated to be a next location of the moving object. The tracking window is positioned at the estimated pixel. If the tracking result is satisfied, the tracking of the moving object continues.

Abstract: Disclosed are an apparatus and a method of detecting change in a background area. The apparatus comprises: at least one image pick-up device for picking up an image of an object zone; a background area extraction section for extracting a background area by excluding a moving area from a current input image picked up by the at least one image pick-up device; a reference image storage section for storing a predetermined reference image for the object zone; a comparison section for comparing the background area with the reference image; and a judging section for determining whether there has been change in the background area on the basis of the comparison result of the comparing section and outputting the result. Using the disclosed apparatus and method, it is possible to enhance efficiency of security, and to effectively cope with theft, calamity, or the like, because the apparatus and method can determine an invader's action of intentionally interrupting normal operation of an image pick-up apparatus.

Abstract: An apparatus detecting motion in image data by compressing and encoding and a method thereof. The motion detecting apparatus has a separation unit, an operation unit and a comparison unit. The separation unit separates a bit stream in relation to a motion predicted image from a compressed encoded image bit stream. The operation unit calculates an average value of the bit stream in relation to the motion predicted image separated at the separation unit. The comparison unit detects a motion when the average value is greater than a predetermined threshold after comparing the average value and the threshold. Thus, because a motion in an input image can be detected by using a compressed encoded image bit stream, a separate circuit or input image processing is not required to detect the motion and adverse affects of camera noise on the detection results can be reduced.

Abstract: A method for controlling a camera using an image compression algorithm. A motion region and a motionless region are determined with respect to an input image based on a motion vector of a macro block which is for the generation of compressed data from the input image. A center value and a size of a moving object is estimated from the motion region. According to the center value and the size of the moving object, the camera is controlled to track and photograph the moving object. Accordingly, a central processing unit of the moving object tracking system is relieved of substantial processing load, and the processing speed of the system is improved.

Abstract: An automatic moving object tracking device and a method thereof are capable of tracking a moving object through a signal process of an input image signal of each frame. The moving object tracking device converts a pre-processed input image signal into a binary disturbance image signal, and calculates a motion value of each pixel through an initial tracking window. After locating the tracking window at the pixel where the motion value is a maximum value, a size of the tracking window is adjusted so that the tracking window can include the moving object therein. Next, based on acquired information about the moving object and the tracking window and previously acquired information about previously frames, a pixel in a following frame is estimated to be a next location of the moving object. The tracking window is positioned at the estimated pixel. If the tracking result is satisfied, the tracking of the moving object continues.