hog-features
There are 230 repositories under hog-features topic.
tatsuyah/vehicle-detection
Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
amineHorseman/facial-expression-recognition-using-cnn
Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream
bnosac/image
Computer Vision and Image Recognition algorithms for R users
rpng/calc
Convolutional Autoencoder for Loop Closure
amineHorseman/facial-expression-recognition-svm
Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset
ahmetozlu/vehicle_counting_hog_svm
Vehicle detection, tracking and counting by SVM is trained with HOG features using OpenCV on c++.
PENGZhaoqing/Hog-feature
HOG feature extractor with simple python implementation
mithi/vehicle-tracking-2
A vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM).
vinay0410/Pedestrian_Detection
Detects Pedestrians in images using HOG as a feature extractor and SVM for classification
akhilesh-k/Lane-and-Vehicles-Detection
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.
kmr0877/Vehicle-and-Speed-Identification
Detecting Cars in real time and identifying the speed of cars and tracking
mlampros/OpenImageR
Image processing Toolkit in R
SCRN-VRC/SVM-Face-and-Object-Detection-Shader
SVM using HOG descriptors implemented in fragment shaders
josemarcosrf/HOG-Pedestrian-Detector
MATLAB implementation of a basic HOG + SVM pedestrian detector.
Mquinn960/sign-language
Android application which uses feature extraction algorithms and machine learning (SVM) to recognise and translate static sign language gestures.
preethampaul/HOG
Histogram Of Oriented Gradients
nickorzha/vehicle-speed-tracking
Detecting Cars in real time and identifying the speed of cars and tracking
keyurr2/face-detection
Face detection implementation with different methods and applications
verifid/facereg
Python module for face recognition with OpenCV and Deep Learning.
harveenchadha/Udacity-CarND-Vehicle-Detection-and-Tracking
Term 1, Project 5 - Udacity Self Driving Car Nanodegree
RashadGarayev/PersonDetection
Person Detection using HOG Feature and SVM Classifier
TusharChugh/Vehicle-Detection-HOG
Detecting vehicles using HOG features and SVM
dpetrini/mnist_compare
Compare different HOG descriptor parameters and machine learning algorithms for Image (MNIST) classification
shreyamalogi/AI_Attendance
Attendence system using Artificial Intelligence - A collaboration project by team Mavericks
preritj/Vechicle-Detection-Tracking
Vehicle detection and tracking using linear SVM classifier
AbdassalamAhmad/Attendance_System
Attendance System using Face Recognition (HOG)
sarveshj/Traffic_sign_recognition
Recognize traffic sign using Histogram of Oriented Gradients (HOG) and Colorspace based features. Support Vector Machines (SVM) is used for classifying images.
saimj7/Object-Detection-Algorithms
Detection algorithms and applications from famous papers; simple theory; solid code.
yukitsuji/Vehicle_Detection_hog
vehicle detection by HOG and color features
HobbySingh/Vision-Based-Fixed-Wing-Landing
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.
NestorRV/HOG
HOG implementation for pedestrian detection.
alexander-hamme/Pedestrian_Detector
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.
hangyao/Udacity_SDCND_Vehicle-Detection
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.
harsh-99/Traffic-sign-detection
Traffic sign detection and classification
saravanabalagi/face_id
Detect, recognize and verify faces using hybrid features: “deep” features from VGG-net + HoG + LBP. Hybrid Features help increase recognition significantly
ZeyadTarekk/Hand-Gesture-Recognition
🖐 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.