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Perception-and-Computer-Vision-in-MATLAB

This repository includes codes created for a graduate level Perception course at the University of Maryland. The repo includes codes for AR tag detection, colored underwater buoy detection, lane detection, car detection , traffic sign recognition and visual odometry for a moving car

Underwater buoy detection

The three colored buoys were found and tracked through a video using 1-D Gaussian , 3-D Gaussian and Gaussian Mixture Modeling for comparative studies

AR Tag Detection

The output detects an AR Tag , identifies the tag based on the tag encoding and calculates the camera poses to superimpose a cube on the tag

Car Tracking

Identifies the cars on a busy highway by providing positive and negative data to a KLT tracker

Lane Detection

Identifies the currently occupied lane using Hough lines and detects the variations in slope to judge the curve of the road

Traffic Sign Detection

Analyzes all signs on a drive through a crowded street and recognizes the signs in its database using MSER and SVM classification of HOG features detected

Visual Odometry

Calculates the path travelled by a car using input from a video and outputs the localized trajectory using RANSAC . The output has comparative studies between different types of RANSAC functions