Object detector from HOG + Linear SVM framework
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Updated
Sep 24, 2018 - Python
Object detector from HOG + Linear SVM framework
Bag of Visual Words and HOG based object detection in python/opencv
Python implementation of 3D Voxel HOG from the paper "A 3D Scene Analysis Framework and Descriptors for Risk Evaluation" by Rob Dupre, Vasileios Argyriou, D. Greenhill, Georgios Tzimiropoulos.
This repository hosts a project that aims to tackle the issue of plagiarism in handwritten submissions. The system developed based on Multi-level detection using the combination of digital pattern analysis and text content comparison to detect potential instances of plagiarism.
Image Search via Feature Vectors.
Vehicle Detection and Tracking
Final Year Project: Predicting Charpy impact test data from microstructure data using a machine learning model.
The repository contains code which is used to detect weather the given image is of human or not using Histogram Of Oriented Gradients (HOG) technique
Classification countryside and metropilitian
Sistem Deteksi Kantuk Berbasis Internet Of Things Untuk Mobil
Histogram of Oriented Gradients, full numpy
Introduction to Computer Vision
Multimedia and Web Databases Fall 2019 project
Slow but functional HOG
Real-time face detection and recognition system with dual implementations: a beginner-friendly version using OpenCV and an advanced version with deep learning (DeepFace). Features face tracking, alignment, and real-time processing.
Projects related to Computer Vision
Detecting and tracking vehicles with computer vision and machine learning. Project 5 of Udacity's Self-Driving Car Engineer Nanodegree Program.
Circular Histogram Oriented Gradient Feature Extraction
Python code that examines social distance and warns in cases of violation.
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.
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