本文關(guān)鍵詞： 機載視頻跟蹤 建筑區(qū)檢測 局部描述子 復(fù)雜場景　出處：《電子學(xué)報》2016年06期 　論文類型：期刊論文

【摘要】：特定建筑區(qū)域的自動檢測及跟蹤在機載遙感視頻數(shù)據(jù)處理中具有重要意義,是非懸停機載平臺面向任務(wù)對地搜尋及火控系統(tǒng)引導(dǎo)的關(guān)鍵技術(shù)之一.針對實際復(fù)雜應(yīng)用場景,提出一種特定建筑區(qū)檢測跟蹤算法.首先,將離線獲得的目標區(qū)參考圖進行局部描述子特征提取.目標區(qū)在線檢測階段,為保證時效性,提出基于邊緣顯著性的快速SIFT(Scale Invariant Feature Transform)特征提取方法,對待檢測大視場圖像中疑似建筑區(qū)域提取局部描述子特征;并通過設(shè)計層次化的特征點匹配方法實現(xiàn)目標區(qū)的高可靠檢測.目標區(qū)在線跟蹤階段,通過自適應(yīng)開窗及軌跡預(yù)測技術(shù)有效圈定疑似目標區(qū),并在圈定的有限范圍內(nèi)進行最終目標確認及穩(wěn)定跟蹤.實測數(shù)據(jù)仿真結(jié)果表明,本文提出的算法能在復(fù)雜場景條件下,實現(xiàn)對特定建筑區(qū)域的快速檢測及穩(wěn)定跟蹤.可為將來實際系統(tǒng)應(yīng)用提供關(guān)鍵技術(shù)支撐.
[Abstract]:Automatic detection and tracking of specific building areas is of great significance in airborne remote sensing video data processing. It is one of the key technologies of mission-to-ground search and fire control system guidance for non-hovering airborne platforms. A detection and tracking algorithm for specific building area is proposed. Firstly, the local description sub-feature is extracted from the off-line reference map of the target area. A fast SIFT(Scale Invariant Feature transform (SIFT(Scale Invariant Feature transform) feature extraction method based on edge salience is proposed to extract local descriptor features for suspected building areas in large field of view images. The high reliability detection of the target area is realized by designing hierarchical feature point matching method. In the online tracking phase of the target area, the suspected target area is effectively delineated by adaptive window opening and trajectory prediction techniques. And the final target confirmation and stable tracking are carried out in the limited range of the delineation. The simulation results of the measured data show that the algorithm proposed in this paper can be used in complex scene conditions. The rapid detection and stable tracking of the specific building area can provide key technical support for the practical application of the system in the future.
【作者單位】： 北方工業(yè)大學(xué)電子信息工程學(xué)院;北京理工大學(xué)雷達技術(shù)研究所;
【基金】：國家自然科學(xué)基金(No.61171194) 北京市教委科技計劃面上項目(No.KM201610009004)
【分類號】：TP751

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