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Content Provider | IEEE Xplore Digital Library |
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Author | Yoder, J. Kwon, H. Sharma, R. Pack, D. |
Copyright Year | 2012 |
Description | Author affiliation: Academy Center for UAS Research, United States Air Force Academy, USAFA CO 80840 (Yoder, J.; Kwon, H.; Sharma, R.; Pack, D.) |
Abstract | In this paper we present behavior recognition algorithms using images captured by a small UAV (unmanned aerial vehicle). Small UAVs provide a mobile platform capable of monitoring a large area, but each UAV has a limited field of view, resulting in very brief observations of targets of interest as UAVs fly over them. Standard behavior recognition algorithms are designed for CCTV networks, where cameras have a fixed view of the target area. To apply these algorithms to imagery from small UAVs, we first geo-locate targets based on their image coordinates and correspondences between geo-located landmarks and landmarks in each video frame. We then apply behavior recognition algorithms that are suited to very short observation periods. We test these algorithms in a simulation environment incorporating realistic target motion and validate the entire approach on imagery captured by a small UAV. These experiments illustrate that automatic behavior recognition has merit even during brief fly-overs, typical of a small UAV on surveillance patrol. |
Starting Page | 179 |
Ending Page | 184 |
File Size | 1833220 |
Page Count | 6 |
File Format | |
ISBN | 9781467322478 |
e-ISBN | 9788993215045 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2012-10-17 |
Publisher Place | Korea (South) |
Access Restriction | Subscribed |
Rights Holder | ICROS |
Subject Keyword | Algorithm design and analysis unmanned aerial vehicles (UAVs) Target tracking Image recognition Roads intent tracking motion compensation Vehicles estimation behavior recognition surveillance Monitoring |
Content Type | Text |
Resource Type | Article |
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