An algorithm that can detect and track the object of interest (OOI) in video frames.
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May 3, 2016 - C++
An algorithm that can detect and track the object of interest (OOI) in video frames.
Model that train with HOG+SVM to define sign language gesture
Classification countryside and metropilitian
Library for creating HoGs for use with machine learning etc.
Implementing different object detection algorithms on the UIUC car dataset
Persian Digit Classification with Multi Layer Perceptron(MLP)- using Block Mean as feature...
Histogram Of Oriented Gradients - C++
A baseline/jump-off project for segmentation of cardiac regions and detection of myocardial infarction. Dataset used: https://www.kaggle.com/datasets/aysendegerli/hmcqu-dataset
Projects related to Computer Vision
All the projects and mini project on AI and ML I am going to do in my first year of college is going to be uploaded in here
Techniques used are Canny Edge Detection, Lane Dtection using Hough Transform, Feature Extraction using Histogram of Oriented Gradients (HOG) and a Vehicle Detection Model using SVM
Histogram of Oriented Gradients 프로젝트입니다.
Detecting and tracking vehicles with computer vision and machine learning. Project 5 of Udacity's Self-Driving Car Engineer Nanodegree Program.
Self-driving Car Project: Vehicle Detection and Tracking
Hybrid Histogram Oriented Gradient and Local Binary Pattern for Image Feature Extraction
Histogram of oriented gradients (HOG) on GPU
To compute the HOG (Histograms of Oriented Gradients) feature from an input image and then classify the HOG feature vector into human or no-human by using a 3-nearest neighbor (NN) classifier.
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.
Vehicle Detection and Tracking pipeline with OpenCV, HOG and SVM.
Object similarity in images using Histogram of Oriented Gradients (HOG)
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