fenil29 / vehicle-speed-detectionLinks
Vehicle Speed Detection is a Python Script to track and detect the speed of a moving vehicle. This script can automatically detect the lane in the highway and split the output based on each lane and automatically capture the image of an overspeeding vehicle.
☆13Updated 5 years ago
Alternatives and similar repositories for vehicle-speed-detection
Users that are interested in vehicle-speed-detection are comparing it to the libraries listed below
Sorting:
- Vehicle counting in a conjusted traffic road where background subtraction gives lower performance.☆38Updated 6 years ago
- Implementation for paper: "Detection of 3D bounding boxes of vehicles using perspective transformation for accurate speed measurement"☆34Updated last month
- Detect and track vehicles on a video stream and count those going through a defined line.☆99Updated 7 years ago
- ☆12Updated 4 years ago
- Detecting people using yolov5 model and the people were classified as High, Moderate and Normal based on their distance from one another.☆18Updated 5 years ago
- deepsort + yolov3 + velocity-tracker☆20Updated 5 years ago
- Vehicle detection and tracking and speed estimation using opencv☆22Updated 7 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
- This is a Multi object tracker. Mainly it was build for tracking car movement in a junction.☆30Updated 3 years ago
- ☆67Updated 5 years ago
- Computer Vision algorithm to compute road curvature and lane vehicle offset using OpenCV Image Processing, Camera Calibration, Perspectiv…☆15Updated 5 years ago
- ✅yolov5-obj-distance-measure.You can change code in yolov5.☆20Updated 4 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
- The System consists of two main components. Vehicle detection model and A graphical user interface (GUI)☆173Updated last year
- YOLOv5 with flask framework, in aims to counting vehicles in traffic☆48Updated 5 years ago
- ☆13Updated 5 years ago
- deep_sort_yolov3☆42Updated 3 years ago
- According to YOLOv3 and SORT algorithms, counting multi-type vehicles. Implemented by Pytorch.☆87Updated last year
- Vehicle Speed Check☆265Updated 3 years ago
- perform 3D object detection base on Yolov5 and 3DDeepbox☆34Updated 4 years ago
- Fast online multi-target multi-camera tracking for vehicles☆20Updated 10 months ago
- Using Perspective Transform to leverage bird's eye view (BEV) to estimate distance between objects.☆75Updated 5 years ago
- ☆11Updated 5 years ago
- Fast MOT base on yolo+deepsort, support yolo3 and yolo4☆56Updated 5 years ago
- Classifying people as high risk and low risk based on their distance to other people.☆111Updated last year
- ☆84Updated 4 years ago
- Hobby project to track vehicles that are over speeding and violating red light☆310Updated 4 years ago
- Traffic light detection using deep learning with the YOLOv3 framework. PyTorch => YOLOv3☆74Updated 5 years ago
- 实时车辆行人交通流计数Real-time Vehicle and Pedestrian Counting (CenterNet)☆37Updated 5 years ago
- library for efficient processing of homography and bird's eye view☆11Updated 4 years ago