bingrao / vehicle-detection
Record the speed of cars passing in front of the Raspberry Pi Picamera. Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).
☆27Updated 7 years ago
Related projects: ⓘ
- real-time Vehicle Detection( tiny YOLO ver) and HOG+SVM method☆133Updated 7 years ago
- Vehicle Detection using Mask R-CNN and Computer Vision based Lane Detection☆120Updated 6 years ago
- Detecting Cars in real time and identifying the speed of cars and tracking☆65Updated 5 years ago
- Object Detection clubbed with a Graphical User Interface developed using Tkinter☆13Updated 6 years ago
- Vehicle-Detection and Tracking Using YOLO and Deep Sort with Tensorflow☆33Updated 5 years ago
- Vehicle detection and speed measurement system☆57Updated last year
- OpenCV 3 & Keras implementation of vehicle tracking with video data.☆117Updated 6 years ago
- deep_sort_yolov3☆42Updated last year
- ☆65Updated 4 years ago
- Combined lane and vehicle detection pipeline comparing YOLOv2 and LeNet-5☆15Updated 6 years ago
- Detecting and Tracking the violating cars using yolov3 model and various image processing techniques.☆35Updated 5 years ago
- A repository for the paper "Real-Time Traffic Sign Recognition Based on Efficient CNNs in the Wild"☆138Updated 4 years ago
- Compare FasterRCNN,Yolo,SSD model with the same dataset☆143Updated 5 years ago
- Vehicle detection and tracking and speed estimation using opencv☆21Updated 6 years ago
- Tensorflow object detection with tracking based on the DeepSort algorithm☆60Updated last year
- Vehicle detection, tracking and counting by SVM is trained with HOG features using OpenCV on c++.☆96Updated 6 years ago
- ☆70Updated 3 years ago
- Vehicle counting in a conjusted traffic road where background subtraction gives lower performance.