G2P: a new descriptor for pedestrian detection
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3815-4
Abstract: Pedestrian detection plays an important role in many applications. Since its birth 13 years ago, Histogram Of Gradient (HOG) descriptor has become a popular descriptor for pedestrian detection. Besides its original instantiation, the HOG also… read more here.
Keywords: descriptor; methodology; new descriptor; hog ... See more keywords
U-Pb zircon geochronology and geochemical constraints on the Ediacaran continental arc and post-collision Granites of Wadi Hawashiya, North Eastern Desert, Egypt: Insights into the ~600 Ma crust-forming Event in the northernmost part of Arabian-Nubian Shield
Sign Up to like & getrecommendations! Published in 2020 at "Precambrian Research"
DOI: 10.1016/j.precamres.2020.105777
Abstract: Abstract The Wadi Hawashiya, North Eastern Desert of Egypt, is a mountainous granitic terrain exposing two Ediacaran granitoid suites, namely the Hawashiya Older Granites (HOG) and the Hawashiya Younger Granites (HYG). The HOG comprise normal… read more here.
Keywords: north eastern; hawashiya north; collision; hog ... See more keywords
Spectral clustering based on histogram of oriented gradient (HOG) of coal using laser-induced breakdown spectroscopy
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Analytical Atomic Spectrometry"
DOI: 10.1039/d1ja00104c
Abstract: The quantification accuracy of laser-induced breakdown spectroscopy was limited due to matrix effects. In this work, a method named unsupervised-clustering-based quantification (UCQ) was proposed to reduce the matrix effects by clustering the spectra by k-means… read more here.
Keywords: breakdown spectroscopy; induced breakdown; spectroscopy; accuracy ... See more keywords
Ensemble empirical mode decomposition-based preprocessing method with Multi-LSTM for time series forecasting: a case study for hog prices
Sign Up to like & getrecommendations! Published in 2022 at "Connection Science"
DOI: 10.1080/09540091.2022.2111404
Abstract: Drastic hog price fluctuations have a great impact on the welfare of hog farmers, people's living standards, and the macroeconomy. To stabilise the hog price, hog price forecasting has become an increasingly hot issue in… read more here.
Keywords: empirical mode; hog; mode decomposition; hog prices ... See more keywords
Hog: handling HDL repository on git
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Instrumentation"
DOI: 10.1088/1748-0221/17/04/c04020
Abstract: Handling HDL project development within large collaborations presents many challenges in terms of maintenance and versioning, due to the lack of standardised procedures. Hog (HDL on git) is a tcl-based open-source management tool, created to… read more here.
Keywords: handling hdl; hog; repository git; hdl repository ... See more keywords
HE-Co-HOG and k-SVM classifier for finger knuckle and palm print-based multimodal biometric recognition
Sign Up to like & getrecommendations! Published in 2020 at "Sensor Review"
DOI: 10.1108/sr-09-2017-0203
Abstract: Biometric identification system has become emerging research field because of its wide applications in the fields of security. This study (multimodal system) aims to find more applications than the unimodal system because of their high… read more here.
Keywords: hog; finger knuckle; proposed model; palmprint finger ... See more keywords
The Excellent Properties of a Dense Grid-Based HOG Feature on Face Recognition Compared to Gabor and LBP
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2813395
Abstract: To effectively represent facial features in complex environments, a face recognition method based on dense grid histograms of oriented gradients (HOG) is proposed. First, the face image is divided by numerous dense grids from which… read more here.
Keywords: hog; dense grid; feature; face recognition ... See more keywords
HOG-ShipCLSNet: A Novel Deep Learning Network With HOG Feature Fusion for SAR Ship Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3082759
Abstract: Ship classification in synthetic aperture radar (SAR) images is a fundamental and significant step in ocean surveillance. Recently, with the rise of deep learning (DL), modern abstract features from convolutional neural networks (CNNs) have hugely… read more here.
Keywords: sar ship; mechanism; hog; ship classification ... See more keywords
Benchmark Revision for HOG-SVM Pedestrian Detector Through Reinvigorated Training and Evaluation Methodologies
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2019.2906132
Abstract: Histogram of oriented gradient (HOG) features in combination with support vector machine (SVM) classification are still widely reported as a de facto standard benchmark to evaluate contemporary pedestrian detectors employing a vast spectrum of sophisticated… read more here.
Keywords: svm; evaluation; kernel svm; hog ... See more keywords
Pedestrian Detection Under Partial Occlusion by using Logic Inference, HOG and SVM
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Latin America Transactions"
DOI: 10.1109/tla.2019.8931190
Abstract: This article presents an algorithm for the detection of pedestrians in urban driving environments during the day. The main contribution is in the design of a new classifier to discriminate between the person and the… read more here.
Keywords: logic inference; partial occlusion; detection; hog ... See more keywords
Partial Discharges Pattern Recognition of Transformer Defect Model by LBP & HOG Features
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Power Delivery"
DOI: 10.1109/tpwrd.2018.2872820
Abstract: Partial discharge (PD) measurement and identification have great importance to condition monitoring of power transformers. In this paper, a new method for recognition of single and multi-source of PD based on extraction of high level… read more here.
Keywords: hog; partial discharges; model; image ... See more keywords