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Shot boundary detection is a field of research of video processing. It aims to automatically detect the transition between the shots in the digital video. In this paper, a new video cut transition detection algorithm is presented by using Hilbert transform and Gray level co-occurrence matrix (GLCM). Texture features are extracted from the GLCM and the corresponding distance measure between the adjacent...
Large scale forest mapping and change detection plays a significant role in the study of global change, particularly in the research of carbon source and sink. This paper presents results from forest/non-forest classification using ENVISAT-ASAR data. Both pixel-based and object-based classification method were developed for ASAR HH/HV images acquired on a single date. For the object-based classification,...
Research on remote sensing monitoring methods of crop planting area is always the hot topic, and theories and methods about single-crop rice emerge one after another. However, in terms of the practice, there are no fixed methods or schemes yet. This paper puts some methods of planting area extracting into practice, and compares their merits and faults in precision and efficiency. The result shows...
In this paper we explore the application of Genetic Programming (GP) to the problem of domain-independent image feature extraction and classification. We propose a new GP-based image classification system that extracts image features autonomously, and compare its performance against a baseline GP-based classifier system that uses human-extracted features. We found that the proposed system has a similar...
In this paper, we propose a road sign detection and recognition algorithm for an embedded application, which requires computationally simple but accurate algorithms. The algorithm is developed by using the Hue Saturation Intensity (HSI) color space to segment the road signs color (red, yellow, blue and white) and the regions of interest (ROI) in order to locate and determine the shape of the road...
The authenticity or originality of sport jersey cloth fabric in market nowadays is difficult to distinguish. This is a critical issue that leads to the difficulty for customer to know whether they are purchase the original fabric or the fake one. The purpose of this paper is to develop a prototype for Fabric Authenticity System to judge the originality of jersey cloth fabric based on its pattern structure...
A robust and effective method to detect lane in the images captured with a vehicle-mounted monocular camera in challenging environments is proposed in this paper. In the newly proposed approach, the gradient direction (GD) feature and the lane boundaries projection model are used. Using GD feature and GD Gaussian distribution with the likelihood function, the lane detection is performed by employing...
An improved image segmentation algorithm based on support vector machines was proposed, which belonged to hybrid segmentation techniques. Considering image segmentation based on support vector machines required the user to provide the training data, an automatic data providing method was proposed to obtain training data used by support vector machines instead of directly taking some pieces of the...
The reason that Chinese characters are more difficult to identify than alphabetic characters lies in the fact that the precedent has more characters and more flexible shape distortion in hand-written process.In this paper, a novel approach based on comprehensive shape features for the recognition of Chinese characters is proposed. In this approach,firstly, the comprehensive features including the...
Considering the simplicity and fast training speed of Haar-like features, the high detecting precision of HOG features, a combined method is proposed on the basis of the two features. Several rectangular features which can describe local human characteristics based on original features are added. The combined method can retain the precision of HOG features and increase the speed of detection at the...
In this paper, a novel robust markerless image processing system capable of extracting gait features which can be used for gait analysis is presented. The presented system can deal with images of persons captured in natural indoor scenes. The system's robustness against external influences and different person appearance is achieved by employing the idea of improving the image processing robustness...
This paper proposes a new algorithm to recognize the printed characters as part of the blob recognition modules of Optical Character Recognition systems. The algorithm uses a SVM classifier and Zernike moments for feature extraction. A comparison with another algorithm based on a five layer convolutional neural network is done. An analysis of the accuracy and the time needed to process one character...
For natural image segmentation, due to features from a single image are hard to describe the complex scene information, this paper presents a new method based on the fusion model evaluation index PRI to fuse color histogram features in 3 color spaces, RGB, XYZ, LUV, and texture features. We experiment on images from Berkeley segmentation databases and compare the quantitative and qualitative experimental...
According to the features of the changing color of fire flames, the periodically increasing of area and the irregular changing in the shape of fire when the early fire breaks, we take fire flame as a kind of special moving object and make a research of it. The color characteristics in fire video images as well as the morphological changes are discussed in this paper, a comprehensive analysis of all...
The interest in the production of stereoscopic contents is growing rapidly. High quality stereo material can be produced using vertical stereo camera rig but complex color discrepancies occur because of the optical characteristic of the half mirror. These discrepancies may severely increase an audience's sense of fatigue if s/he watches these stereoscopic contents for a long time. The color matching...
In iris recognition, eyelash occlusions will reduce the accuracy of iris recognition, an algorithm of eyelash occlusions detection based on endpoint identification is proposed in this paper. By analyzing the structural characteristics of eyelashes, this algorithm identifies the endpoints of eyelashes projection in the outer circularity of iris, and finally uses a sector region to represent the eyelash...
This paper introduces a tuning algorithm of self-quotient ε-filter (SQEF) and support vector machine (SVM), and its application to noise robust human detection combining SQEF, histograms of oriented gradients (HOG), and SVM. Although human detection combining HOG and SVM is a powerful approach, as it uses local intensity gradients, it is difficult to handle noise corrupted images. On the other hand,...
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