Topic: hog-features Goto Github
Some thing interesting about hog-features
Some thing interesting about hog-features
hog-features,Attendance System using Face Recognition (HOG)
User: abdassalamahmad
Home Page: https://share.streamlit.io/abdassalamahmad/attendance_system/main/streamlit_test_app_online.py
hog-features,π An implementation of a machine learning model for detecting and recognizing hand signs (0-5) accurately using Python. The project pipeline involves the following modules: Preprocessing, Feature Extraction, Model selection and training, and finally performance analysis.
User: abdelrahmanhamdyy
hog-features,Vehicle detection, tracking and counting by SVM is trained with HOG features using OpenCV on c++.
User: ahmetozlu
Home Page: https://www.youtube.com/watch?v=itmV7druy9Y&feature=youtu.be
hog-features,This repository contains works on a computer vision software pipeline built on top of Python to identify Lanes and vehicles in a video. This project is not part of Udacity SDCND but is based on other free courses and challanges provided by Udacity. It uses Computer vision and Deep Learrning Techniques. Few pipelines have been tried on SeDriCa, IIT Bombay.
User: akhilesh-k
hog-features,Several methods for detecting pedestrians either in images or in camera feed, using OpenCV and Python. With inspiration and code from Adrian Rosebrock's PyImageSearch blog.
User: alexander-hamme
hog-features,Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset
User: aminehorseman
hog-features,Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream
User: aminehorseman
hog-features,Computer Vision and Image Recognition algorithms for R users
Organization: bnosac
hog-features,Use a Histogram of Oriented Gradients (HOG), Spatial Binning of Color, Histograms of Color, a Linear Support Vector Machine and multi-scale sliding windows for vehicle detection and tracking
User: cdemutiis
hog-features,Program for Harris Corner Detection with non-maximum Suppression, HOG Feature Extraction, Feature Comparison, Gaussian Noise and Smoothing.
User: chandnii7
hog-features,Compare different HOG descriptor parameters and machine learning algorithms for Image (MNIST) classification
User: dpetrini
hog-features,Computer Vision - Object Detection
User: erolozkan-
hog-features,Training AdaBoost Classifier of 500 estimators to classify HOG&LBP features of TB &NTB (Tuberculosis) chest X-ray images
User: farisology
hog-features,pedestrian detection using GMM and HOG
User: geekysethi
hog-features,Created a vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM). Optimized and evaluated the model on video data from a automotive camera taken during highway driving.
User: hangyao
hog-features,Traffic sign detection and classification
User: harsh-99
hog-features,Term 1, Project 5 - Udacity Self Driving Car Nanodegree
User: harveenchadha
hog-features,This research uses computer vision and machine learning for implementing a fixed-wing-uav detection technique for vision based net landing on moving ships. A rudimentary technique using SIFT descriptors, Bag-of-words and SVM classification was developed during the study.
User: hobbysingh
hog-features,Object Detection Techniques for the Vehicle Detection
User: jeongwhanchoi
hog-features,Matlab code in order to do FaceRecognition with PCA Eigenfaces and HogFeatures
User: jorgelekk
hog-features,MATLAB implementation of a basic HOG + SVM pedestrian detector.
User: josemarcosrf
hog-features,Face detection implementation with different methods and applications
User: keyurr2
hog-features,Detecting Cars in real time and identifying the speed of cars and tracking
User: kmr0877
hog-features,A vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM).
User: mithi
Home Page: https://medium.com/@mithi/vehicles-tracking-with-hog-and-linear-svm-c9f27eaf521a
hog-features,Image processing Toolkit in R
User: mlampros
Home Page: https://mlampros.github.io/OpenImageR/
hog-features,Android application which uses feature extraction algorithms and machine learning (SVM) to recognise and translate static sign language gestures.
User: mquinn960
hog-features,HOG implementation for pedestrian detection.
User: nestorrv
hog-features,Detecting Cars in real time and identifying the speed of cars and tracking
User: nickorzha
hog-features,HOG feature extractor with simple python implementation
User: pengzhaoqing
hog-features,Recognizing Traffic signs from GTSRB dataset ||:red_circle:||:small_red_triangle:||:small_red_triangle_down:||
User: prakass1
hog-features,Histogram Of Oriented Gradients
User: preethampaul
hog-features,Vehicle detection and tracking using linear SVM classifier
User: preritj
hog-features,Person Detection using HOG Feature and SVM Classifier
User: rashadgarayev
hog-features,Lab Experiments under Lab component of CSE3018 - Content-based Image and Video Retrieval course at Vellore Institute of Technology, Chennai
User: ravengineer
hog-features,Convolutional Autoencoder for Loop Closure
Organization: rpng
hog-features,Detection algorithms and applications from famous papers; simple theory; solid code.
User: saimj7
hog-features,Detect, recognize and verify faces using hybrid features: βdeepβ features from VGG-net + HoG + LBP. Hybrid Features help increase recognition significantly
User: saravanabalagi
hog-features,Recognize traffic sign using Histogram of Oriented Gradients (HOG) and Colorspace based features. Support Vector Machines (SVM) is used for classifying images.
User: sarveshj
hog-features,SVM using HOG descriptors implemented in fragment shaders
User: scrn-vrc
hog-features,Fast computation of rectangular histogram of oriented gradients (R-HOG) features using integral histogram
User: sergiud
hog-features,Attendence system using Artificial Intelligence - A collaboration project by team Mavericks
User: shreyamalogi
hog-features,Few computer vision algorithms implemented in Python for university course.
User: styczen
hog-features,Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
User: tatsuyah
hog-features,Multiple Moving objects in a surveillance video were detected and tracked using ML models such as AdaBoosting. The obtained results were compared with the results from Kalman Filter.
User: tejas1415
hog-features,Detecting vehicles using HOG features and SVM
User: tusharchugh
hog-features,Python module for face recognition with OpenCV and Deep Learning.
Organization: verifid
Home Page: https://facereg.verifid.app/
hog-features,Detects Pedestrians in images using HOG as a feature extractor and SVM for classification
User: vinay0410
hog-features,HOG feature descriptor, the kind of feature transform before we put our image into SVM. This repository also provides hog visualization both before and after doing block normalization.
User: ycc789741ycc
hog-features,vehicle detection by HOG and color features
User: yukitsuji
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