Found 53 repositories(showing 30)
Vehicle Counting Using Yolov8 and DeepSORT
In this project, urban traffic videos are collected from the middle section of Xi 'an South Second Ring Road with a large traffic flow, and interval frames are extracted from the videos to produce data sets for training and verification of YOLO V5 neural network. Combined with the detection results, the open-source vehicle depth model data set is used to train the vehicle depth feature weight file, and the deep-sort algorithm is used to complete the target tracking, which can realize real-time and relatively accurate multi-target recognition and tracking of moving vehicles.
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ChillTerry
The project uses YOLOv5 to detect vehicles, employs the DeepSORT algorithm to track them, and applies inverse perspective transformation to map the coordinates of the vehicles in the video to real-world latitude and longitude, thereby calculating the speed of each vehicle.
Salmankotakuth
Simplified Traffic Monitoring by vehicle detection, tracking and speed estimation using YOLO v8 and DeepSort
amadrezafrh
In this project we use deep neural networks and image processing algorithms such as Faster R-CNN and YOLO for detecting vehicles from aerial imagery. After we trained our neural network, we have used DeepSort algorithm for tracking vehicles and after that we used Support Vector Machine (SVM) algorithm for separating road lines from each other for further use in national AE project that measures traffic flow through monitoring cameras installed at the junctions in the Tehran city in Iran.
Robotics-Academy-of-Nepal
This model uses ultralytics yolo v8 and deepsort methods to detect lane-wheel collision and keep track of vehicles.
🚦An AI-powered Smart Traffic Management System utilizing YOLO and DeepSORT for real-time vehicle detection and tracking.
KanishkDevCode
Drone-based system for automatic vehicle detection, tracking, and lane-wise traffic analysis. Uses YOLO + DeepSORT with auto lane extraction. Outputs visualized traffic flow and Excel-based directional counts.
Akaqox
This project uses the YOLO TensorRT library and the DeepSORT algorithm to monitor tunnel traffic. It identifies, counts, and tracks vehicles as they enter and exit the tunnel, providing real-time insights into traffic flow.
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Demo Vehicles Tracking Using YOLOv9 And DeepSORT
Personal project for learning and improving my skills
Real Time Vehicle Tracking Using YOLOV5 & DeepSORT
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fbrandao2k
Vehicle detection by Yolo V8. Vehicle Tracking, Counting, and Speed Estimation by script and DeepSort.
通过官方模型调用 如何构建基于深度学习YOLOv8_v10+DeepSORT多目标车辆跟踪（车辆检测_跟踪_车辆计数_测速_禁停区域_绘制进出线_绘制禁停区域_车道车辆统计）
kaydotehdot
This code uses a custom model trained in mixed traffic environment in Nepal. It uses a combination of yolov8 and deepSORT to detects and classify the vehicles into following categories: auto (M3W), motorcycle, cycle, bus, truck, cars and vans (shared vans).
pinyouchen
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reuphrosyne
No description available
nimarta-tejwani
No description available
Prabuddha-G
No description available
ankush850
YOLO-DeepSORT-Vehicle-Tracking integrates YOLOv8 for real-time vehicle detection with DeepSORT for multi-object tracking. Designed for urban traffic monitoring, it assigns unique IDs to vehicles across frames, enabling precise counting and movement analysis. Ideal for applications in smart cities, surveillance, and traffic analytics.
Hariharanm95
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mohitsarin-tamu
No description available
This project is about the tracking and counting of vehicle. It is able to take in video stream, at which the angle of camera preferable be a CCTV view.
sanjay-subramanya
YOLO and DeepSORT based real time vehicle tracker.
its aproject
This project implements real-time vehicle detection and tracking using YOLOv8 and DeepSORT, optimizing accuracy with refined confidence thresholds and tracking parameters for improved performance in autonomous systems. 🚗📈