本文選題：定位器 + 目標檢測��； 參考：《中國科學(xué)技術(shù)大學(xué)學(xué)報》2017年04期

【摘要】：高鐵接觸網(wǎng)安全監(jiān)測的主要方法是采用可見光高清相機捕捉接觸網(wǎng)零部件的圖像序列,通過圖像處理和計算機視覺技術(shù)實現(xiàn)對零部件的檢測、識別與跟蹤.在整個監(jiān)測系統(tǒng)中,定位器檢測識別是必要的基礎(chǔ)工作.傳統(tǒng)的目標檢測算法受限于特征描述子的設(shè)計,難以依靠人工設(shè)計出具有通用性、魯棒性、高精度的特征描述子.于是提出基于Faster R-CNN模型實現(xiàn)高精度的接觸網(wǎng)定位器檢測,同時采用Hough變換檢測出定位器的骨架輪廓,并通過濾線機制篩選出定位器的最優(yōu)擬合直線段,為定位器坡度的非接觸式精準測量做好基礎(chǔ)性工作.
[Abstract]:The main method of safety monitoring for high speed catenary is to capture the image sequence of catenary parts by using visible light high-definition camera, and to detect, identify and track the parts by image processing and computer vision technology. In the whole monitoring system, locator detection and identification is a necessary basic work. The traditional target detection algorithm is limited by the design of feature descriptors, so it is difficult to design feature descriptors with universal, robust and high precision by manual design. Therefore, based on the Faster R-CNN model, the high precision detection of the catenary locator is proposed. At the same time, the skeleton profile of the locator is detected by Hough transform, and the optimal fitting line segment of the locator is selected by the filter mechanism. Do a good job for the non-contact precision measurement of the positioner slope.
【作者單位】： 中國科學(xué)院自動化研究所;中國科學(xué)院大學(xué);
【基金】：國家自然科學(xué)基金(61432008,61532006,61472423)資助
【分類號】：TP391.41;U225
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本文編號：1940264