The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper proposed a novel image stitching algorithm based on fast moving object detection and motion prediction compensation, which can avoid ghosting caused by the moving target. We estimates the global motion vector through extracting and matching SIFT features. Based on the global motion estimation, calculate the relative difference image of the overlapping region in the pair of registered images...
We consider the problem of automatically separating coal and coal gangue based on computer vision and design a coal and coal gangue separation system framework based on video. Grayscale histogram, fractal dimension and energy value are extracted as ore features. Then we design a 4-layer Levenberg Marquart BP Neural Network to implement multi-feature fusion. Test results demonstrate that the system...
Video scene text contains semantic information and thus can contribute significantly to video indexing and summarization. However, most of the previous approaches to detecting scene text from videos experience difficulties in handling texts with various character size and text alignments. In this paper, we propose a novel algorithm of scene text detection and localization in video. Based on our observation...
Figure/Ground segmentation is of great interest within the analysis of video streams. We propose a new, continuous evaluation measure for figure/ground segmentation algorithms which allows for assessing the quality of a segmentation. The evaluation approach is based on set similarities and logic-motivated considerations. Results obtained with the new measure are shown for several well-known algorithms...
A new vehicle detection algorithm for high resolution images is proposed in this paper. The new method is based on intensity curve of images. It can detect the presence of vehicles via different intensity curve characters between moving objects and background. Our approach is a real-time detection algorithm. It outperforms the existing traditional algorithms, such as mixture Gaussian background model...
Colorization is a computer-aided process of adding color to a grayscale image or video. The task of colorizing a grayscale image involves assigning three dimensional (RGB) pixel values to an image which varies along only one dimension (luminance or intensity). Since different colors may have the same luminance value but vary in hue or saturation, mapping between intensity and color is not unique,...
On the basic of the video traffic surveillance system, the Vehicle detection is a crucial step. A typical method is background subtraction. Extracting and updating the background plays an important role on speed and efficiency of detection. For this reason, the author puts forward a fast and effective method for building and updating the background model. First, adopt the improved statistical method...
This paper presents a method for objects detection and features extraction in static video imagery that operates on color/gray-scale frames grabbed by common digital cameras or readily available images from external sources. Segmenting objects is achieved by a technique proposed here and named as direct thresholding (DTh) with background extracted through applying morphological background estimation...
An integrated approach to detect moving vehicles, by using of gray-scale images with complicated background, applied in intelligent traffic surveillance is proposed. In this paper, firstly, color images are converted to gray-scale images in the images pre-processing. Then the methods of frame differencing and selective background updating are utilized to generate initial background and update current...
Text extraction from images with complex backgrounds remains a challenging problem. Existing thresholding methods succeed in extracting text from images with simple or slowly varying backgrounds. However, when the backgrounds include sharply varying contours, some background pixels, which have similar intensities to the text, are classified to the text pixels in the binary image. In the literature,...
Video halftoning is a key technology for use in the new display device, electronic paper (e-paper). One challenging issue is how to save the limited power of mobile e-paper device when a halftone video is displayed with various frame rates. In this paper, we propose a power-scalable multi-layer halftone video display scheme, which is composed of layer coding, non-uniform sampling, and flicker rate...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.