Share Email Print
cover

Optical Engineering • Open Access • new

Moving object detection in top-view aerial videos improved by image stacking
Author(s): Michael Teutsch; Wolfgang Krüger; Jürgen Beyerer

Paper Abstract

Image stacking is a well-known method that is used to improve the quality of images in video data. A set of consecutive images is aligned by applying image registration and warping. In the resulting image stack, each pixel has redundant information about its intensity value. This redundant information can be used to suppress image noise, resharpen blurry images, or even enhance the spatial image resolution as done in super-resolution. Small moving objects in the videos usually get blurred or distorted by image stacking and thus need to be handled explicitly. We use image stacking in an innovative way: image registration is applied to small moving objects only, and image warping blurs the stationary background that surrounds the moving objects. Our video data are coming from a small fixed-wing unmanned aerial vehicle (UAV) that acquires top-view gray-value images of urban scenes. Moving objects are mainly cars but also other vehicles such as motorcycles. The resulting images, after applying our proposed image stacking approach, are used to improve baseline algorithms for vehicle detection and segmentation. We improve precision and recall by up to 0.011, which corresponds to a reduction of the number of false positive and false negative detections by more than 3 per second. Furthermore, we show how our proposed image stacking approach can be implemented efficiently.

Paper Details

Date Published: 16 August 2017
PDF: 16 pages
Opt. Eng. 56(8) 083102 doi: 10.1117/1.OE.56.8.083102
Published in: Optical Engineering Volume 56, Issue 8
Show Author Affiliations
Michael Teutsch, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)
Wolfgang Krüger, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)
Jürgen Beyerer, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)
Karlsruher Institut für Technologie (Germany)


© SPIE. Terms of Use
Back to Top