Key features of our system
High-Resolution Analysis
High Robustness
High Accuracy
Pixel Level Video Stabilization
Car Pose Estimation
Lost and Missing Vehicles Re-matching
Semantic Segmentation
Fusion of Deep Learning and Traditional Method
This system, applicable in particular to road traffic analysis, uses drone/Unmanned Aerial Vehicle (UAV) videos. Video data from drones/UAVs are stabilized first, and then be processed through the automatic detection and tracking system based on state-of-the-art algorithms. This system also further corrects vehicles’ tracking areas based on vehicles’ moving conditions and detection results to provide more accurate outputs, especially for turning vehicles. Based on the detection and tracking results, the systems can generate the following types of outputs using drone/UAV video data:
The system can be applied for drone videos that are collected from different types of roadways, including freeway, arterial, and intersection.
The ones who makes this happen
P.E., F.ASCE Trustee Chair
Research Associate Professor
Computer Vision Research Engineer
Research Assistant Professor
Accuracy
Expected Average Overlap(EAO)
Robustness
What we’ve done for safety