A Novel Unmanned Aerial Surveillance Scheme

被引：0

作者：

Imamoglu, Nevrez ^{[1
]}

Eresen, Aydin ^{[2
]}

Efe, Mehmet Onder ^{[3
]}

Kaynak, Okyay ^{[4
]}

机构：

[1] Chiba Univ, Dept Med Syst Engn, Chiba, Japan

[2] Texas A&M Univ, Dept Elect Engn, College Stn, TX 77843 USA

[3] Hacettepe Univ, Dept Comp Engn, Ankara, Turkey

[4] Bogazici Univ, Dept Elect & Elect Engn, Istanbul, Turkey

来源：

2014 INTERNATIONAL CONFERENCE ON MECHATRONICS AND CONTROL (ICMC) | 2014年

关键词：

Gabor Wavelets; feature extraction; pseudo-Zernike moments; template matching; tracking and surveillance; ZERNIKE MOMENTS; RECOGNITION; ALGORITHM;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

An aerial surveillance method is proposed for a predefined single object tracking. The algorithm takes advantage of template matching to be able to track the selected object in video sequences. The selected templates are chosen from the images by utilizing gradient operation on the Gabor Wavelet representations. The algorithm achieves the tracking task even in the cases where i) the observer is moving, ii) the target object is moving, iii) video record is low quality with noise and iv) there are high illumination changes.

引用

页码：26 / 31

页数：6

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