Abstract:
PURPOSE: A vehicle velocity measurement apparatus and a method thereof are provided to calculate the moving displacement of a moved vehicle, thereby measuring the velocity displacement of the vehicle while driving. CONSTITUTION: A vehicle velocity measurement apparatus comprises a video camera(100), a image processing part(200), a frame buffer memory part(500), a velocity calculation part(300), and a control part(400). The video camera records a video image with respect to a vehicle while driving. The image processing part creates images for different time slots with respect to the same vehicle using the video image received from the video camera. The frame buffer memory part saves the image processed in the image processing part. The velocity calculation part calculates the velocity of vehicle using two vehicle images created in the image processing part. The control part controls a vehicle velocity calculation process of the velocity calculation part, an image saving process of the frame buffer memory part, and a video image creation process of the image processing part.
Abstract:
PURPOSE: An image processing apparatus and method for detecting motion information in real time are provided to be used in an intelligent camera, an industrial field easily by being embedded through simple hardware structure. CONSTITUTION: An image processing apparatus(100) for detecting motion information includes a sub-sampling unit(120), a sensor's conversion unit(140), a correlation calculation unit(150) and a motion detecting unit(160). The sub-sampling unit performs a sub-sampling for each image by receiving plural previous images and current images, and a sensor's conversion unit obtains a sensor's vector by performing conversion for each image sub-sampled. The correlation calculation unit calculates and compares the correlation values between the current and previous images, and detects a region that has high correlation. The motion detection unit detects the motion information within an image by detecting the location of a pixel corresponding to the region that has the high correlation.
Abstract:
A real-time object tracking method and an apparatus thereof using a color histogram capable of continuously tracing the change of an object which is chosen on a track station are provided to modify a reference histogram based on the present histogram of the window which is chosen on the track station. A histogram generator(30) produces a plurality of windows from a successively inputted image. A similarity calculator(40) produces the similarity with the set standards histogram by each present histogram. A tracking target selector(60) extracts a standards histogram and the most high present histogram among the current histograms. The window corresponding to the extracted present histogram is selected as a tracking window. A modifier(70) modifies the standard histogram by reflecting the standard histogram.
Abstract:
An image processing device is provided to reduce a thinning process time. Binarization data are divided into predetermined image blocks and stored in an input storing unit(120). A thinning unit(140) parallel thins the divided image blocks. An input switch unit(130) connects the input storing unit and the thinning unit. An output storing unit(160) stored the thinned image blocks. An output switch unit(150) connects the thinning unit and the output storing unit. An image data reconfiguration unit(170) combines the thinned image blocks stored in the output storing unit and reconfigures the blocks as thinned image data.
Abstract:
A chain code generating apparatus and method are provided to generate the chain code for an interest decoding target from an input image in real-time only with a small hardware device, thereby reducing the overload of a total image processing system and maximizing the efficiency of the total image processing system. A chain code generating apparatus includes an image input unit(110), an image storage unit(120), a code generation unit(130), a code storage unit(140), and a transmission unit(150). The image input unit receives image signals from a camera(200), converts the received image signals into digital image signals, and divides and outputs sync signals from the image signals. The image storage unit stores image data corresponding to an effective image section by frame out of the digital image signals on the basis of the sync signals. The code generation unit reads the image data stored in the image storage unit to perform the outline searching of an interest decoding area, and generates the chain code in correspondence to location correlation between adjacent pixels forming the outline of the interest decoding area according to a searching result. The image storage unit includes a first buffer memory and a second buffer memory, and stores the image data corresponding to the effective image section alternately in the first buffer memory and the second buffer memory whenever a frame is changed. When the image data is stored in one of the first buffer memory and the second buffer memory, the code generation unit reads image data from the other of the first buffer memory and the second buffer memory to generate the chain code.
Abstract:
According to the present invention, an apparatus for detecting body skeleton and body parts information from an image comprises: an Euclidean distance transform image input unit for receiving an Euclidean distance transformed image by applying the Euclidean distance transformation to a body image inputted from a user image input device; a body detection unit for detecting the body skeleton and body parts information by applying a local maxima calculation to the Euclidean distance transformed image; and a body parts information output unit for outputting the detected body skeleton and body parts information. [Reference numerals] (200) Euclidean distance transform image input imot; (231) Skeleton detection uni; (232) Head detection unit; (234) Body detection unit; (236) Shoulder/hip detection unit; (238) Arms/legs detection unit; (260) Body parts information output unit; (290) Euclidean distance transformation image output unit
Abstract:
PURPOSE: A real time face recognition apparatus is provided to automatically obtain an image coordinate of a face for an image inputted to a camera and to output a recognition result of a face in real time. CONSTITUTION: A face detector (110) obtains an image coordinate of a face from an inputted image and detects a face image. An eye detector (120) obtains a binocular image coordinate from the detected face image. A face feature extractor (130) generates feature histogram data through the parallel processing of the detected face image. A histogram matching unit (150) compares the generated feature histogram data with a comparison feature histogram in a database unit (140) and outputs the similarity of the face image. [Reference numerals] (100) Real-time face recognition device; (110) Face detector; (120) Eye detector; (130) Face feature extractor; (131) Face normalizing unit; (132) Convolution filtering operation unit; (133) MLBP operation unit; (134) Histogram generating unit; (140) Database unit; (150) Histogram matching unit; (160) Recognition result output unit
Abstract:
PURPOSE: A laser pointer interface apparatus and an interface supplying method using the same are provided to set up a pointer coordinate value of a laser pointer in a dynamic environment by performing calibration. CONSTITUTION: A projector(10) projects a basis image. A camera unit(100) photogrpahs a first pointer image which displays a point of a laser pointer. A focus control part(200) controls the focus of a second pointer image in which the first pointer image is magnified or reduced. An image data processor(300) processes data of the first and second pointer image. A calibrator(400) matches the basic image with first pointer image. A point detector(500) detects the location of the point from the first or the second pointer image.
Abstract:
본 발명은 실시간 영상 처리를 위한 시스템 및 방법에 관한 것으로, 보다 구체적으로는 실시간 영상 처리를 위한 서브 샘플링 시스템 및 방법에 관한 것이다. 본 발명은, 원본 이미지에 대하여 다수의 서브 샘플링 레이트(rate)에 따라 서브 샘플링을 수행하는 시스템에 있어서, 상기 다수의 서브 샘플링 레이트에 상응하는 저장 공간을 갖는 레지스터를 할당하고, 상기 원본 이미지 및 다수의 서브 샘플링 레이트에 상응하는 내부 메모리를 할당하는 윈도우 생성부; 상기 원본 이미지의 어느 일부를 상기 내부 메모리에 픽셀 단위로 순차적으로 저장시키고, 상기 내부 메모리에 저장된 픽셀 데이터 중 서브 샘플링이 수행되는 영역에 상응하는 무빙 윈도우에 속하는 픽셀 데이터를 상기 레지스터에 순차적으로 저장시키고, 상기 무빙 윈도우를 순차적으로 이동시키는 윈도우 연산부; 상기 레지스터에 저장된 픽셀 데이터를 이용하여 상기 다수의 서브 샘플링 레이트 각각에 상응하는 다수의 보간 픽셀을 산출하는 픽셀 보간부; 및 상기 보간 픽셀을 출력하는 서브 샘플링 영상 출력부를 포함한다. 실시간 영상 처리, 서브 샘플링, 보간, 병렬 처리