Motion Detection Algorithm for Unmanned Aerial Vehicle Nighttime Surveillance

Huaxin XIAO  Yu LIU  Wei WANG  Maojun ZHANG  

IEICE TRANSACTIONS on Information and Systems   Vol.E97-D   No.12   pp.3248-3251
Publication Date: 2014/12/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2014EDL8129
Type of Manuscript: LETTER
Category: Image Recognition, Computer Vision
motion detection,  nighttime surveillance,  sparse representation,  unmanned aerial vehicle,  

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In consideration of the image noise captured by photoelectric cameras at nighttime, a robust motion detection algorithm based on sparse representation is proposed in this study. A universal dictionary for arbitrary scenes is presented. Realistic and synthetic experiments demonstrate the robustness of the proposed approach.