Moving object detection in top-view aerial videos improved by image stacking

Michael Teutsch; Wolfgang Krüger; Jürgen Beyerer

doi:10.1117/1.OE.56.8.083102

16 August 2017 Moving object detection in top-view aerial videos improved by image stacking

Michael Teutsch, Wolfgang Krüger, Jürgen Beyerer

Author Affiliations +

Optical Engineering, Vol. 56, Issue 8, 083102 (August 2017). https://doi.org/10.1117/1.OE.56.8.083102

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.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

Citation Download Citation

Michael Teutsch, Wolfgang Krüger, and Jürgen Beyerer "Moving object detection in top-view aerial videos improved by image stacking," Optical Engineering 56(8), 083102 (16 August 2017). https://doi.org/10.1117/1.OE.56.8.083102

Received: 20 February 2017; Accepted: 6 July 2017; Published: 16 August 2017

ACCESS THE FULL ARTICLE

JOURNAL ARTICLE
16 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY