An object detection system based on YOLO in traffic scene

  title={An object detection system based on YOLO in traffic scene},
  author={Jing Tao and H. Wang and X. Zhang and X. Li and Huawei Yang},
  journal={2017 6th International Conference on Computer Science and Network Technology (ICCSNT)},
  • Jing Tao, H. Wang, +2 authors Huawei Yang
  • Published 2017
  • Computer Science
  • 2017 6th International Conference on Computer Science and Network Technology (ICCSNT)
We build an object detection system for images in traffic scene. [...] Key Method After that the features are extracted. Then a classifier on these proposals is executed. But the speed is slow and the accuracy is not satisfying. YOLO an excellent object detection approach based on deep learning presents a single convolutional neural network for location and classification. All the fully-connected layers of YOLO's network are replaced with an average pool layer for the purpose of reproducing a new network.Expand
17 Citations
Object Detection Using Deep Learning Methods in Traffic Scenarios
Multiple Object Detection Mechanism Using YOLO
Pedestrian Counting Using Yolo V3
YOLO based Detection and Classification of Objects in video records
  • Arka Prava Jana, Abhiraj Biswas, Mohana
  • Computer Science
  • 2018 3rd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)
  • 2018
  • 16
Alert System for Drivers based on Traffic Signs, Lights and Pedestrian Detection
Detection and Recognition of Security Detection Object Based on Yolo9000
  • 6


R-FCN: Object Detection via Region-based Fully Convolutional Networks
  • 3,055
  • PDF
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  • 13,417
  • Highly Influential
  • PDF
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  • 23,303
  • PDF
You Only Look Once: Unified, Real-Time Object Detection
  • 11,363
  • Highly Influential
  • PDF
SSD: Single Shot MultiBox Detector
  • 10,642
  • PDF
YOLO9000: Better, Faster, Stronger
  • 5,721
  • Highly Influential
  • PDF
Training Region-Based Object Detectors with Online Hard Example Mining
  • 1,235
  • PDF
Object Detection with Discriminatively Trained Part Based Models
  • 8,747
  • PDF
Deep Residual Learning for Image Recognition
  • 64,958
  • PDF
A discriminatively trained, multiscale, deformable part model
  • 2,425
  • PDF