🏞 A content-based image retrieval (CBIR) system

通过HOG+SVM训练进行行人检测，行人数据库使用INRIAPerson，程序基于OpenCV实现

Artificial Intelligence Learning Notes.

HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS

Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset

Vehicle detection, tracking and counting by SVM is trained with HOG features using OpenCV on c++.

[DEPRECATED] Traffic sign detector and classifier that uses dlib and its implementation of the Felzenszwalb's version of the Histogram of Oriented Gradients (HoG) detector

Adaptive Real-Time Object Detection System with HOG and CNN Features

Detect eye blinks based on eye aspect ratio (EAR) introduced by Soukupová and Čech in their 2016 paper, Real-Time Eye Blink Detection Using Facial Landmarks.

zAnalysis是基于Pascal语言编写的大型统计学开源库

Aggregated Channel Feature object detection in C++ and OpenGL ES 2.0 based on https://github.com/pdollar/toolbox

Histogram Of Oriented Gradients

HOG-based linear SVM for detecting vehicles (or any other object) in videos

Object detection using feature-based algorithms in Rust. Compiles to WebAssembly.

物体检测　object-detection 用于检测红灯笼demo

Term 1, Project 5 - Udacity Self Driving Car Nanodegree

Vehicle detection based on YOLO and SVM

HOG+SVM图像分类-行人检测

This project uses Histogram of Oriented Gradients for pedestrian detection and Kalman Filter for tracking and prediction

Classifier for CIFAR-10. Grayscaling, HOG, PCA, and RBF SVM. 62% test accuracy. Walkthrough on YouTube: https://youtu.be/gmTweV0eHhk