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Sensors 2016, 16(9), 1528; doi:10.3390/s16091528

Small Moving Vehicle Detection in a Satellite Video of an Urban Area

1
ShaanXi Provincial Key Lab of Speech and Image Infromation Processing, School of Computer Science, Northwestern Polytechnical University, Xi’an 710129, China
2
School of Telecommunications Engineering, Xidian University, Xi’an 710071, China
*
Author to whom correspondence should be addressed.
Received: 20 June 2016 / Revised: 8 September 2016 / Accepted: 9 September 2016 / Published: 21 September 2016
(This article belongs to the Section Remote Sensors)
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Abstract

Vehicle surveillance of a wide area allows us to learn much about the daily activities and traffic information. With the rapid development of remote sensing, satellite video has become an important data source for vehicle detection, which provides a broader field of surveillance. The achieved work generally focuses on aerial video with moderately-sized objects based on feature extraction. However, the moving vehicles in satellite video imagery range from just a few pixels to dozens of pixels and exhibit low contrast with respect to the background, which makes it hard to get available appearance or shape information. In this paper, we look into the problem of moving vehicle detection in satellite imagery. To the best of our knowledge, it is the first time to deal with moving vehicle detection from satellite videos. Our approach consists of two stages: first, through foreground motion segmentation and trajectory accumulation, the scene motion heat map is dynamically built. Following this, a novel saliency based background model which intensifies moving objects is presented to segment the vehicles in the hot regions. Qualitative and quantitative experiments on sequence from a recent Skybox satellite video dataset demonstrates that our approach achieves a high detection rate and low false alarm simultaneously. View Full-Text
Keywords: moving vehicle detection; satellite video; motion heat map; local saliency map moving vehicle detection; satellite video; motion heat map; local saliency map
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Yang, T.; Wang, X.; Yao, B.; Li, J.; Zhang, Y.; He, Z.; Duan, W. Small Moving Vehicle Detection in a Satellite Video of an Urban Area. Sensors 2016, 16, 1528.

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