Title | ||
---|---|---|
A New Method Used in Moving Vehicle Information Acquisition from Aerial Surveillance with a UAV |
Abstract | ||
---|---|---|
In this paper, a multiple moving vehicle detecting and tracking framework on aerial range data provided by the unmanned aerial vehicle (UAV) which is installed with a video camera is proposed. The system consists of two modules: moving vehicle detection, multi vehicle tacking. First of all, detect moving vehicles by clustering the singular points obtained after the motion estimation. Then, build a specific data structure to store multi-vehicle's data and track several vehicles in the shaking video sequence from the UAV. After tracking the vehicle in the video sequence, the speed of the vehicle and record them as traffic flow information would be estimated. Finally, the method on real aerial data and the experiments are estimated and demonstrate the effectiveness of approach. |
Year | DOI | Venue |
---|---|---|
2012 | 10.1007/978-3-642-34595-1_10 | ADVANCES ON DIGITAL TELEVISION AND WIRELESS MULTIMEDIA COMMUNICATIONS |
Keywords | Field | DocType |
aerial video,dynamic background,multiple target tracking,cluster singular points | Data structure,Computer vision,Aerial video,Traffic flow,Moving vehicle,Computer science,Artificial intelligence,Motion estimation,Vehicle tracking system,Cluster analysis,Video camera | Conference |
Volume | ISSN | Citations |
331 | 1865-0929 | 0 |
PageRank | References | Authors |
0.34 | 4 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Fuqiang Liu | 1 | 270 | 24.48 |
Xiaofeng Liu | 2 | 73 | 23.87 |
pingting luo | 3 | 0 | 0.34 |
yingqian yang | 4 | 0 | 0.34 |
danqing shi | 5 | 10 | 1.44 |