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In this paper, an efficient method for human facial expression recognition is presented based on LBP descriptor. Firstly, the face normalization is employed in order to improve the efficiencies of extracting facial features. Then, the feature blocks which mainly contain the eyes and mouth were obtained, and each feature block image was divided into several(More)
Image registration is to seek a spatial alternation which can make a 2D or 3D image to consist with another 2D or 3D image in space; it is an important technique in image processing. The concept of image registration is introduced in detail in this paper, and the main emphasis is how to choose the feature points. The author raises a new algorithm to choose(More)
Curvelet is often used in image multi-scale analysis for its description ability to the image edges such as curve and line characteristics. On the basis of analyzing several common algorithms of image fusion, a new multi-focus image fusion method based on Curvelet transform is proposed according to the question of image fusion. The principle of Curvelet(More)
This paper presents a real-time and automatic video tracking system with a single pan-tilt-zoom (PTZ) camera. Compared with fixed camera, it can enlarge the surveillance area. By using three-dimensional background-weighted histogram in HSV color space, an improved mean-shift algorithm is proposed, and the algorithm can track target with multiple colors in(More)
In this paper, we propose a high-performance traffic sign recognition (TSR) framework to rapidly detect and recognize multiclass traffic signs in high-resolution images. This framework includes three parts: a novel region-of-interest (ROI) extraction method called the high-contrast region extraction (HCRE), the split-flow cascade tree detector (SFC-tree(More)
This paper describes a traffic sign detection (TSD) framework that is capable of rapidly detecting multiclass traffic signs in high-resolution images while achieving a high detection rate. There are three key contributions. The first is the introduction of two features called multiblock normalization local binary pattern (MN-LBP) and tilted MN-LBP(More)
Changes of arterial pressure waveform characteristics have been accepted as risk indicators of cardiovascular diseases. Waveform modelling using Gaussian functions has been used to decompose arterial pressure pulses into different numbers of subwaves and hence quantify waveform characteristics. However, the fitting accuracy and computation efficiency of(More)