Motion Detection Algorithm for Unmanned Aerial Vehicle Nighttime Surveillance

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 o...

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Bibliographic Details
Published inIEICE Transactions on Information and Systems Vol. E97.D; no. 12; pp. 3248 - 3251
Main Authors ZHANG, Maojun, LIU, Yu, WANG, Wei, XIAO, Huaxin
Format Journal Article
LanguageEnglish
Published The Institute of Electronics, Information and Communication Engineers 2014
Subjects
Algorithms
Dictionaries
Image detection
motion detection
Motion perception
Night
nighttime surveillance
Representations
Robustness
sparse representation
Surveillance
unmanned aerial vehicle
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ISSN0916-8532
1745-1361
1745-1361
DOI10.1587/transinf.2014EDL8129

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Summary: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.
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ISSN:0916-8532
1745-1361
1745-1361
DOI:10.1587/transinf.2014EDL8129