AtharvaMusale / Vehicle-Detection-and-Tracking-using-YOLOv3-and-Deep-Sort
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…
☆16Updated 3 years ago
Related projects: ⓘ
- ☆20Updated this week
- Graduation Project. Vehicle speed estimation using computer vision and evolutionary-based camera calibration☆34Updated 2 years ago
- Detect and track vehicles on a video stream and count those going through a defined line.☆82Updated 5 years ago
- CV integrated project. Including MOT to track cars and pedestrians, object detection and image classification to get license plate conten…☆45Updated last year
- Collection of papers, code, notebooks, datasets and other resources for Multi Object Tracking (Vehicle tracking, Pedestrian tracking) | G…☆82Updated 3 years ago
- A tutorial for training YOLOv3 to detect traffic lights using BOSCH small traffic light dataset.☆116Updated 2 years ago
- deep_sort_yolov3☆42Updated last year
- Deep Learning Lane Detection☆12Updated 5 years ago
- ☆120Updated 4 years ago
- Traffic light detection using deep learning with the YOLOv3 framework. PyTorch => YOLOv3☆59Updated 4 years ago
- Development of Deep Learning algorithms for Drivable Area Segmentation, Lane Segmentation, Traffic Sign Detection and Classification with…☆43Updated 2 years ago
- According to YOLOv3 and SORT algorithms, counting multi-type vehicles. Implemented by Pytorch.☆85Updated 3 months ago
- This is a Multi object tracker. Mainly it was build for tracking car movement in a junction.☆29Updated 2 years ago
- YOLO: Real-Time Object Detection☆31Updated 5 years ago
- Zalo aI 2020: Traffic sign detection using Retinanet and image tiling☆26Updated 3 years ago
- YOLOv5 Object Detection on Traffic Signs Dataset with Custom Training☆11Updated 2 years ago
- Vehicle-Detection and Tracking Using YOLO and Deep Sort with Tensorflow☆33Updated 5 years ago
- To train a model to detect German traffic signs with tensorflow object detection API☆35Updated 6 years ago
- Real-Time Detection And Classification of Traffic Signs using YOLOv5s object detection algorithm. [AI PROJECT]☆24Updated 2 years ago
- This project is to detect cars that move in wrong way.☆18Updated 3 years ago
- Example scripts for the detection of lanes using the ultra fast lane detection model in Pytorch.☆69Updated 2 years ago
- ☆65Updated 4 years ago
- YOLO & RCNN Object Detection and Multi-Object Tracking☆30Updated 4 years ago
- Lane detection and classification in an end-to-end Deep Learning fashion☆91Updated 2 years ago
- Vehicle detection and speed measurement system☆57Updated last year
- ☆13Updated 3 years ago
- Vehicle counting in a conjusted traffic road where background subtraction gives lower performance.☆34Updated 5 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…☆58Updated 5 years ago
- Vehicle detection and tracking and speed estimation using opencv☆21Updated 6 years ago
- Real-time PPE detection and tracking using YOLO v3 and deep_sort☆108Updated 3 months ago