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The wearable video system supports decision making through analyzing video images. Because personnel who wear the system or the object monitored is always moving, the technology of motion detection and target contour extraction used in the wearable video system are studied. First, the frequently-used algorithms for motion detection are studied, including frame difference method and background subtraction...
The technology of motion detection and target contour extraction used in the system of monitor are studied. First, the frequently-used algorithms for motion detection are studied, including frame difference method and background subtraction method, and an algorithm composing of those methods for motion detection is proposed. The principle using traditional snake model to extract contour is analyzed...
In order to overcome deficient using character of skin segmentation and calculate much of template matching, The paper presents a method of Face Detection Based On Skin Segmentation and Template Matching. In the study of threshold in skin segmentation, the paper presents an adaptive threshold based on amount of pixels and presents a search method of mirror image. In the study of template matching,...
Image segmentation is an important image analysis technique, the segmentation result of which is critical to determine the performance of high-level modules in image processing system. After a brief introduction LLT image segmentation algorithm, focusing on analysis of the inadequacies of LLT algorithm, propose an improved ILLT image segmentation algorithm. Experiments show that the algorithm improves...
A few of classic thinning algorithms are presented. Combing with the advantages of the medial axis approach and the peeling approach, propose a new thinning algorithm, and it has been used to the car plate recognition system. The experiment shows that the new algorithm provides high implement efficiency, good thinning effect, greatly improving the whole performance of car plate recognition system.
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