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Search results for vehicle svm

19 search results found

Vehicle Detection ⭐ 1,068

Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.

Vehicle Detection ⭐ 509

Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).

Vehicle Detection Yolo Ver ⭐ 100

real-time Vehicle Detection( tiny YOLO ver) and HOG+SVM method

Vehicle_counting_hog_svm ⭐ 78

Vehicle Detection, Tracking and Counting by SVM with HOG Features with OpenCV

Vehicle Tracking 2 ⭐ 60

A vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM).

Vehicle Detection And Tracking ⭐ 55

Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking

License Plate Detection ⭐ 41

{Python}: Detect and extract the license plate of vehicles using Machine Learning and Image Processing Techniques

Carnd Vehicle Detection ⭐ 40

A vehicle tracker based on sliding windows, HOG and an SVM

Vehicle_detection_hog_svm ⭐ 27

Vehicle detection using HOG + SVM and sliding windows

Carnd Vehicle Detection ⭐ 26

Monocular vehicle detection using SVM and Deep Learning classifiers

Vehicle Detection ⭐ 16

Record the speed of cars passing in front of the Raspberry Pi Picamera. Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).

Vehicle Detection ⭐ 14

I implemented Vehicle Detection and Tracking algorithm using HOG, SVM, and Kalman filter. This is Udacity Self-Driving CarND Term 1 Project 5: Video for vehicle detection and tracking.

Vehicle_detection_hog ⭐ 11

vehicle detection by HOG and color features

Svm Vehicle Detector ⭐ 10

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

Vehicle_detection_and_tracking ⭐ 9

Vehicle Detection and Tracking using HOG, CNN

Advanced Lane And Vehicle Detection ⭐ 9

This repository is aimed towards using advanced computer vision techniques to accurately detect lane lines on unfavorable roads.

Vehicle Detection ⭐ 8

Vehicle detection based on YOLO and SVM

Udacity_sdcnd_vehicle Detection ⭐ 8

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 Detector ⭐ 8

Detects cars in video using an SVM and sliding window search.

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