0. University of Washington
Bi-directional traffic flow parameters estimation from aerial videos - An application of unmanned aerial vehicle
PacTrans STAR Lab
University of Washington
July 17, 2015
Ruimin Ke

1. Motivation
Low operating cost
Large monitoring area
Emergency response

2. Application Traffic monitoring Law enforcement Precision Farming
Firefighting
Assistance in flooding efforts
Customs and Border patrol
Making drug bust
Amazon delivery service
3D model creation

3. Application in Traffic Monitoring
Road detection
Incident detection
Vehicle detection and tracking
Traffic parameters estimation
Pedestrian and cyclists detection and tracking

4. Challenge
Privacy issue
Moving background & Moving foreground

5. Objective
Automatically extracting traffic flow parameters in real time
- Speed
- Density
- Flow

6. Methodology Track feature points: Motion-vector clustering
Kanade-Lucas-Tomasi optical flow tracker
Motion-vector clustering
K-means clustering
Multi-vehicle detection and counting
Connected graph
Traffic parameters determination
Using reference marks

7. Thanks for your attention!
Ruimin Ke