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Text categorization task have gained the attention of researchers in last 10 years with the increase in web-based contents of documents. For searching a particular document from the web or any large document collection text or document categorization is most useful task. We demand some better system and enhanced machine learning classifiers to accomplish task of document categorization. We designed...
We investigate how overhead imagery can be integrated with non-image geographic data to learn appearance models for geographic objects with minimal user supervision. While multi-modal data integration has been successfully applied in other domains, such as multimedia analysis, significant opportunity remains for similar treatment of geographic data due to location being a simple yet powerful key for...
Finding out an effective way to score Chinese written essays automatically remains challenging for researchers. Several methods have been proposed and developed but limited in the character and word usage levels. As one of the scoring standards, however, content or topic perspective is also an important and necessary indicator to assess an essay. Therefore, in this paper, we propose a novel perspective...
Script identification at the word level is challenging because of complex backgrounds and low resolution of video. The presence of graphics and scene text in video makes the problem more challenging. In this paper, we employ gradient angle segmentation on words from video text lines. This paper presents new Gradient-Angular-Features (GAF) for video script identification, namely, Arabic, Chinese, English,...
In order to realize texture image segmentation, a new texture segmentation method is presented. The method fused with Local Binary Pattern (LBP), Gray-level Co-occurrence Matrix (GLCM) and permutation entropy. After processing the texture image by the rotation invariant LBP operator, the LBP image can be obtained. Then co-occurrence matrixes can be calculated in the LBP image, some features which...
In this paper, we propose a novel unsupervised approach to enabling sparse action representations for the cross-view action recognition scenario. Superior to previous cross-view action recognition methods, neither target view label information nor correspondence annotations are required in this approach. Low-level dense trajectory action features are first coded according to their feature space localities...
In this paper we present a novel approach to integrate feature similarity and spatial consistency of local features to achieve the goal of localizing an object of interest in an image. The goal is to achieve coherent and accurate labeling of feature points in a simple and effective way. We introduced our Spatial-Visual Label Propagation algorithm to infer the labels of local features in a test image...
The use of a small number of surface electromyography (EMG) channels on the transradial amputee in a myoelectric controller is a big challenge. This paper proposes a pattern recognition system using an extreme learning machine (ELM) optimized by particle swarm optimization (PSO). PSO is mutated by wavelet function to avoid trapped in a local minima. The proposed system is used to classify eleven imagined...
The paper presents the development of content-based image retrieval system to search similar symbols from a collection of trademark images. The system consists of two stages i.e. feature extraction and similarity process. Watershed transform is employed to handle feature extraction process. Two features are derived from this stage i.e. object size and shape from each image. These features are used...
In this paper, we propose a method based on the SVM algorithm to recognize dynamic hand gestures. The information of motion trajectory is captured by a leap motion in three-dimension space. A new methodology of feature extracting is proposed to guarantee the length of samples being the same. The elements of feature vectors are ranged according to two different criteria: one is the amplitude of the...
Flow visualization is an important research field in scientific visualization and feature detection is the one of the core problems. This paper presents a novel approach for complex ocean flow visualization and analysis by applying the helmholtz-hodge decomposition theory to the feature extraction problem. We give an efficient implementation on regular grids by solving a large-scale sparse group of...
A new robust digital watermarking technique with an aim of image protection is proposed. This technique incorporates both the transform and feature based method. Initially, the Harris Laplacian detector extracts the features from the cover image that suites well for the watermarking. The extracted characteristic regions are grouped to form a primary feature set where the secret message is embedded...
An innovative algorithm to reconstruct complex target-induced azimuth envelope in synthetic aperture radar (SAR) system is proposed. Unlike the assumption in conventional SAR imaging algorithms, target's backscattering coefficient can hardly remain constant when synthetic aperture time is long enough. In order to fully understand the target feature, we extract both amplitude and phase information...
We propose a novel binary feature for object detection encoding local neighbor patterns of different sizes and locations. Each region pair of the proposed feature is selected by RealAdaBoost algorithm with a penalty term on the structure diversity. As a result, useful features that are good at describing specific objects will be chosen to build the classifier. Moreover, the encoding scheme is applied...
As the demands of UAV's visual navigation technology, we bring out a new horizon extraction method in this paper. Firstly, we propose a horizon extraction algorithm for single image. We employ dark channel in single image to avoid the interferences from clouds and fogs, and use Sobel operator extract edges, among which we can extract the true horizon through an algorithm mentioned in Paragraph II...
In this article, the database of sEMG corresponding to the six gestures with two,four and eight channels is collected and established through increasing the number of surface electrode muscle telecommunication reasonably.Two-channel method used in the previous studies in laboratory is improved to make the method suitable for four-channel and eight-channel.On this basis ,the activity of sEMG is detected,the...
Sign language is important for facilitating communication between hearing impaired and the rest of society. Two approaches have traditionally been used in the literature: image-based and sensor-based systems. Sensor-based systems require the user to wear electronic gloves while performing the signs. The glove includes a number of sensors detecting different hand and finger articulations. Image-based...
Integration systems based on cameras and laser rangefinders has been applied in many researches on robotics, autonomous navigation vehicles, and intelligent transportation systems. Relative information between sensors is usually required for systems using multiple sensors. This paper will present a method for recovering extrinsic parameters of a system based on an omnidirectional camera and laser...
The sit-to-stand transfer has been examined in depth using many different methods. Pressure mats and or force plates have been used to partition the transfer into phases. These phases help to identify the beginning and end of the transfer and describe the movement performance, therefore characterizing the transition. The methods of phase breakdown, however, vary depending on the source. In this paper,...
Health monitoring is investigated for immersed structures. The environment of these structures makes their monitoring and diagnosis very difficult. In this paper, the major challenge is to make easy and efficient the monitoring of this kind of structures. The proposed detection method is based on non contact measurements with acoustic scattering. It uses artificial intelligence, with gaussian neural...
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