An algorithm that can detect and track the object of interest (OOI) in video frames.
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Updated
May 3, 2016 - C++
An algorithm that can detect and track the object of interest (OOI) in video frames.
Histogram of oriented gradients (HOG) on GPU
Supervised Classification using Python, SVM, HOG, Jupyter, Anaconda, AWS, Ubuntu
Implementing different object detection algorithms on the UIUC car dataset
Detecting and tracking vehicles with computer vision and machine learning. Project 5 of Udacity's Self-Driving Car Engineer Nanodegree Program.
Vehicle detection, tracking and counting by SVM is trained with HOG features using OpenCV on c++.
Activity recognition with volume motion templates and histograms of 3D gradients
Projects related to Computer Vision
Introduction to Computer Vision
The goal of this project is to solve the task of name transcription from handwriting images implementing a NN approach.
The goal of this project is to solve the task of name transcription from handwriting images implementing a NN approach.
Slow but functional HOG
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.
Self-driving Car Project: Vehicle Detection and Tracking
Object detection program, using HoG+SVM, OpenCV2.4.10, VS2013
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
Goal is to write a software pipeline to detect vehicles in a video using Support Vector Machines
Train a SVM and for detecting human upper bodies in TV series The Big Bang Theory
The goal is to create a pipeline to identify and track vehicles in a video from a front-facing camera on a car with a traditional Computer Vision approach for object detection: processing stages, feature extraction, spatial sampling and classification
Vehicle Detection Project from the Udacity Self-Driving Car Engineer Nanodegree
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