histogram of oriented gradients
Estimation of Age Group using Histogram of Oriented gradients and Neural Network
... 3.2 Histogram of Oriented Gradients(HoG): The next step is to extract the features of the hand ...(Histogram oriented gradient) to present the hand ...a histogram of intensity ...
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Automatic attendance capturing using histogram of oriented gradients on facial images
... images. Histogram of Oriented Gradients (HOG) has been recently adopted and seen as a standard for efficient face recognition and object detection ...
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Betel Leaf Disease Detection Using Histogram of Oriented Gradients and Multiclass SVM
... KEYWORDS: CIELAB Color Space Model; Watershed Segmentation; Histogram of Oriented Gradients; Multiclass Support Vector Machine . I. INTRODUCTION Plant diseases cause periodic outbreak of diseases ...
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Driving Posture Recognition by Joint Application of Motion History Image and Pyramid Histogram of Oriented Gradients
... Copyright © 2014 Chao Yan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
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New Approach to Two-wheeler Detection using Correlation Coefficient based on Histogram of Oriented Gradients
... 14], histogram of oriented gradients(HOGs) [21, 22], local representative field [5], wavelet coefficient [7], Haar-like features and its application features ...
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Curvature and Histogram of oriented Gradients based 3D Face Recognition using Linear Discriminant Analysis
... using histogram of oriented gradients (HOG) based on face ...And histogram of oriented gradients (HOG) descriptor is one of the state-of-art methods which have been shown to ...
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Two-wheeler Detection System using Histogram of Oriented Gradients based on Local Correlation Coefficients and Curvature
... modified histogram of oriented gradients (HOGs) which is weighted by curvature and local correlation ...and Histogram of Oriented Gradients (HOG) which includes gradient ...
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Histogram of Oriented Gradients (HOG)
... Ảnh Input Chuẩn hóa Gamma & Colour Tính Gradients Chia hướng & Gom nhóm đặc trưng tại mỗi cell Tính đặc trưng cho khối & chuẩn.. hóa Tính vector đặc trưng cho [r] ...
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Scene Classification using Localized Histogram of Oriented Gradients Method
... 2. Proposed Method Our method consists of the stages key point detection, feature extraction, global mapping and classification. In the key point detection stage, we are concerned about localizing the highly informative ...
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Estimation of Age Group using Histogram of Oriented gradients and Neural Network
... The implementation method of the HoG algorithm descriptor is given as follows. Firstly, the cells are divided into smallest possible regions of an image. These regions are called cells. For each of these cells, a ...
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Automated Multi-Modal Search and Rescue using Boosted Histogram of Oriented Gradients
... 2.2 Improvements to HOG Due to the success of the HOG feature set, many researchers have sought to decrease it’s computational complexity by reducing the dense feature calcula- tions. Each feature of HOG is calculated ...
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Classification of ground penetrating radar images using histogram of oriented gradients and support vector mechine
... The proposed algorithm aims to improve the concept of manual mapping in site surveying using GPR, which is generally applied in the available present software. The notion of this research is to have the popular feature ...
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CBIR of Brain MR Images Using Histogram of Fuzzy Oriented Gradients and Fuzzy Local Binary Patterns
... efficient. Histogram of Oriented Gradients (HOG) and Local Binary Pattern (LBP) are good descriptor for brain MR image ...the histogram dimension. So here proposed a method called ...
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Egocentric Activity Recognition using Histogram Oriented Features and Textural Features
... using histogram oriented features like Histogram of Oriented Gradients (HOG), Histogram of optical Flow (HOF) and Motion Boundary Histogram (MBH) and textural features ...
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Redefining histograms of oriented gradients descriptors for handling occlusion in people detection
... v ABSTRACT Object detection is a big challenge for researchers to address the issues that affect accurate detections. The Histogram of oriented gradients (HOG) descriptors have been used extensively ...
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Classification Of Batik Images Using Multilayer Perceptron With Histogram Of Oriented Gradient Feature Extraction
... 3. Histogram Of Oriented Gradient (HOG). Histogram of Oriented Gradients (HOG) is a method for discriminating ...the histogram based on the edges and orientation that applies to ...
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Image Retrieval by Fusion of Color Histogram and Edge Orientation Histogram and wavelets
... object surface and described as a pattern with some kind of regularity. Many researchers have put forward various algorithms for texture analysis, such as the famous gray level co- occurrence matrix (GLCM) [6], local ...
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Histograms of Oriented Gradients for Human Detection
... of Oriented Gradient (HOG) descriptors sig- nificantly outperform existing feature sets for human detec- ...fine-scale gradients, fine orientation binning, relatively coarse spatial binning, and ...
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Histograms of Oriented Gradients for 3D Object Retrieval
... aggregated gradients. The HOG descrip- tor organizes gradients into ...each histogram organizes the respective gradients into bins according to their ...a histogram is computed for each ...
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Bayesian Generative Model Based on Color Histogram of Oriented Phase and Histogram of Oriented Optical Flow for Rare Event Detection in Crowded Scenes
... In order to model the usual event occurring in a training dataset, we use the Latent Dirichlet Allocation (LDA) al- gorithm. This algorithm is well-known in the text mining domain. The LDA algorithm, introduced by Blei ...
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