Caidong Gu

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This paper presents a real-time robust algorithm to detect and accurately locate the circular objects in digital images. The algorithm consists of four steps.First the edge pixels are extracted using Canny edge detection algorithm followed by a noise removal process to remove the non-circle edge points.Afterwards, a direct least square fitting algorithm is(More)
This paper presents a new method based on digital image processing to realize the real-time automatic vehicle speed monitoring using video camera. Based on geometric optics, it first presents a simplified method to accurately map the coordinates in image domain into real-world domain. The second part is focused on the vehicle detection in digital image(More)
— This paper designed and implemented with Visual C++ a software video stream processing system to realize the real-time automatic vehicle speed detection and vehicle number counting. Based on geometric optics, we first present a simplified method to accurately map the coordinates in image domain into real-world domain. The second part is focused on the(More)
To improve the performance of image classification, we propose an image classification method based on BP neural network. Firstly, one image is segmented and clustered several visual objects. By means of the unit image library, we calculate one probability vector, which is composed by probability of every visual object of the image and every unit image of(More)
This paper presents a real-time robust algorithm to automatically detect and classify round road signs on Chinese highways. As most of road signs on Chinese highways have circular borders, the detection system first takes advantage of a real-time circle detection algorithm to extract the regions of interest (ROI). Then the color and texture pattern in each(More)
For many applications, finding rare instances or outliers can be more interesting than finding common patterns. Existing work in outlier detection never considers the context of deep web. In this paper, we argue that, for many scenarios, it is more meaningful to detect outliers over deep web. In the context of deep web, users must submit queries through a(More)
With the development of Internet of things technology and cloud technology, the Internet of things technology has been used in all walks of life, the informatization construction of higher vocational colleges is developing from digital campus to wisdom campus. The article introduces the concept and characteristics of Internet of things, as well as the basic(More)
We propose a new method to extract foreground edges in a video streams taken from a stationary camera. Our background model is based on the fact that a background pixel's gradient components follow Gaussian mixture model(GMM). GMM is performed on the initial group of video frames to obtain the initial pixel gradient component distribution information at(More)