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:
- Approach to extract motion paths (trajectories) of vehicles and pedestrians from videos (Multiple object detection & tracking)☆74Updated 6 years ago
- This is a Multi object tracker. Mainly it was build for tracking car movement in a junction.☆30Updated 3 years ago
- Tracking and Trajectory Prediction☆39Updated 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…☆320Updated 3 years ago
- Collection of papers, code, notebooks, datasets and other resources for Multi Object Tracking (Vehicle tracking, Pedestrian tracking) | G…☆90Updated 4 years ago
- ☆46Updated 2 years ago
- Graduation Project. Vehicle speed estimation using computer vision and evolutionary-based camera calibration☆42Updated 3 years ago
- According to YOLOv3 and SORT algorithms, counting multi-type vehicles. Implemented by Pytorch.☆87Updated last year
- Detect and track vehicles and pedestrian from UAV videos☆27Updated 6 years ago
- CV integrated project. Including MOT to track cars and pedestrians, object detection and image classification to get license plate conten…☆53Updated 2 years ago
- 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
- Vehicle detection and tracking using deep learning and computer vision.☆13Updated 4 years ago
- ☆27Updated 6 years ago
- The system takes video footage of a highway as input and provides statistics like the count of vehicles and an average estimated speed of…☆61Updated 6 years ago
- ☆120Updated 5 years ago
- Detect free parking lot available for cars☆85Updated 4 years ago
- deepsort + yolov3 + velocity-tracker☆20Updated 5 years ago
- Trajectory estimation of vehicles in crowded and crossroad scenarios☆10Updated 4 years ago
- A dataset of traffic, fire and accident images for training deep learning models.☆160Updated 6 years ago
- Estimating distance to objects in the scene using detection information☆171Updated 3 years ago
- Vehicle Speed Estimation from Video using Deep Learning and Optical Flow in PyTorch.☆121Updated 3 years ago
- A tutorial for training YOLOv3 to detect traffic lights using BOSCH small traffic light dataset.☆133Updated 4 years ago
- Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking …☆176Updated 5 years ago
- Code of the Unsupervised Traffic Accident Detection paper in Pytorch.☆184Updated 2 years ago
- ☆33Updated 5 years ago
- Detect and track vehicles on a video stream and count those going through a defined line.☆99Updated 7 years ago
- To train a model to detect German traffic signs with tensorflow object detection API☆34Updated 7 years ago
- A PyTorch implementation of the ICRA 2020 paper 'End-to-end Learning for Inter-Vehicle Distance and Relative Velocity Estimation in ADAS …☆55Updated 5 years ago
- Vehicle-Detection and Tracking Using YOLO and Deep Sort with Tensorflow☆34Updated 6 years ago
- ☆13Updated 5 years ago