AtharvaMusale / Vehicle-Detection-and-Tracking-using-YOLOv3-and-Deep-SortLinks
I have used YOLOv3 Algorithm for Vehicle Detection and Deep Sort Algorithm for Vehicle Tracking. After tracking the vehicles I have tried counting the number of vehicles in each lane. This will help us in real life implementations like Toll Booths(To cross check the collection) and Traffic Lanes Rules Monitoring(To check if heavy vehicles are fo…
☆17Updated 4 years ago
Alternatives and similar repositories for Vehicle-Detection-and-Tracking-using-YOLOv3-and-Deep-Sort
Users that are interested in Vehicle-Detection-and-Tracking-using-YOLOv3-and-Deep-Sort are comparing it to the libraries listed below
Sorting:
- This is a Multi object tracker. Mainly it was build for tracking car movement in a junction.☆30Updated 3 years ago
- CV integrated project. Including MOT to track cars and pedestrians, object detection and image classification to get license plate conten…☆52Updated 2 years ago
- ☆46Updated 2 years ago
- Graduation Project. Vehicle speed estimation using computer vision and evolutionary-based camera calibration☆42Updated 3 years ago
- Approach to extract motion paths (trajectories) of vehicles and pedestrians from videos (Multiple object detection & tracking)☆74Updated 6 years ago
- A tutorial for training YOLOv3 to detect traffic lights using BOSCH small traffic light dataset.☆132Updated 4 years ago
- Collection of papers, code, notebooks, datasets and other resources for Multi Object Tracking (Vehicle tracking, Pedestrian tracking) | G…☆90Updated 4 years ago
- Tracking and Trajectory Prediction☆38Updated 4 years ago
- This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed es…☆318Updated 3 years ago
- Detect free parking lot available for cars☆84Updated 4 years ago
- According to YOLOv3 and SORT algorithms, counting multi-type vehicles. Implemented by Pytorch.☆86Updated last year
- ☆100Updated 6 years ago
- Vehicle detection and tracking using deep learning and computer vision.☆13Updated 4 years ago
- ☆27Updated 6 years ago
- Vehicle Speed Estimation from Video using Deep Learning and Optical Flow in PyTorch.☆121Updated 3 years ago
- Trajectory estimation of vehicles in crowded and crossroad scenarios☆10Updated 4 years ago
- deepsort + yolov3 + velocity-tracker☆20Updated 4 years ago
- ☆120Updated 5 years ago
- The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. After acquisit…☆173Updated 3 years ago
- A PyTorch implementation of the ICRA 2020 paper 'End-to-end Learning for Inter-Vehicle Distance and Relative Velocity Estimation in ADAS …☆54Updated 5 years ago
- Repository for the paper I See You: A Vehicle-Pedestrian Interaction Dataset from Traffic Surveillance Cameras, presented at the LXAI wor…☆20Updated 5 months ago
- Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking …☆174Updated 5 years ago
- real-time fire detection on Jetson Nano 2GB using NanoDet☆28Updated 4 years ago
- Detect and track vehicles and pedestrian from UAV videos☆27Updated 6 years ago
- Module for detecting traffic lights in the CARLA autonomous driving simulator. Based on the YOLO v2 deep learning object detection model …☆44Updated 2 years ago
- This project is to detect cars that move in wrong way.☆20Updated last year
- This repo contains all the source code and dataset used in the paper Car Detection using Unmanned Aerial Vehicles: Comparison between Fa…☆75Updated 6 years ago
- Turkish Traffic Sign Detection and Classification using Faster R CNN Inception v2 in Python☆17Updated 6 years ago
- Combined lane and vehicle detection pipeline comparing YOLOv2 and LeNet-5☆15Updated 7 years ago
- Detect and track vehicles on a video stream and count those going through a defined line.☆99Updated 6 years ago