Aerial Refueling Drogue Detection based on Sliding-Window Object Detector and Hybrid Features
Bai MR(白明然)
2014-02
会议名称WCICA2014
会议日期2014-5
会议地点沈阳
摘要In order to present an aerial refueling drogue detector, we use a sliding-window object detection framework, while using hybrid features of the sub-image in the detecting windows. Image processing technique and wavelet filter technique are used in the process of feature extraction, to form hybrid feature set. Feature selection depending on AdaBoost is used in the process of feature subset selection. The detection of the black center of drogue is in conjunction with the determination of the external umbrella area. Our aerial refueling drogue detection works well in a variety of illumination environment as well as works with high computational efficiency.
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/14152
专题精密感知与控制研究中心_精密感知与控制
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Bai MR. Aerial Refueling Drogue Detection based on Sliding-Window Object Detector and Hybrid Features[C],2014.
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