系统工程与电子技术
繫統工程與電子技術
계통공정여전자기술
SYSTEMS ENGINEERING AND ELECTRONICS
2014年
6期
1021-1026
,共6页
非平面场景运动目标检测%视差滤波%梯度抑制%对极几何约束
非平麵場景運動目標檢測%視差濾波%梯度抑製%對極幾何約束
비평면장경운동목표검측%시차려파%제도억제%대겁궤하약속
moving object detection in non-planar scenes%parallax filtering%gradient suppression%epipolar geometry constraint
针对非平面场景3D 结构产生的视差对导弹及无人机等空中机动成像平台运动目标检测影响，从提高运动目标检测的快速性和准确性角度，基于梯度抑制算法，提出了改进算法。首先，在非平面场景的运动目标检测中，考虑到视差干扰主要出现在背景边缘上，采用梯度抑制法滤除视差像素。其次，对经过梯度抑制法滤波后的像素，应用外极几何约束，进一步滤除机动成像平台大角度机动产生的剩余视差像素，从而提取出离散的运动目标像素，并进行二值化处理。然后，采用行列投影的方法对二值化的运动目标像素进行分类，确定运动目标区域。最后，对所提的方法进行了实验验证，验证了算法的有效性。
針對非平麵場景3D 結構產生的視差對導彈及無人機等空中機動成像平檯運動目標檢測影響，從提高運動目標檢測的快速性和準確性角度，基于梯度抑製算法，提齣瞭改進算法。首先，在非平麵場景的運動目標檢測中，攷慮到視差榦擾主要齣現在揹景邊緣上，採用梯度抑製法濾除視差像素。其次，對經過梯度抑製法濾波後的像素，應用外極幾何約束，進一步濾除機動成像平檯大角度機動產生的剩餘視差像素，從而提取齣離散的運動目標像素，併進行二值化處理。然後，採用行列投影的方法對二值化的運動目標像素進行分類，確定運動目標區域。最後，對所提的方法進行瞭實驗驗證，驗證瞭算法的有效性。
침대비평면장경3D 결구산생적시차대도탄급무인궤등공중궤동성상평태운동목표검측영향，종제고운동목표검측적쾌속성화준학성각도，기우제도억제산법，제출료개진산법。수선，재비평면장경적운동목표검측중，고필도시차간우주요출현재배경변연상，채용제도억제법려제시차상소。기차，대경과제도억제법려파후적상소，응용외겁궤하약속，진일보려제궤동성상평태대각도궤동산생적잉여시차상소，종이제취출리산적운동목표상소，병진행이치화처리。연후，채용행렬투영적방법대이치화적운동목표상소진행분류，학정운동목표구역。최후，대소제적방법진행료실험험증，험증료산법적유효성。
The parallax caused by the 3D structure of the non-planar scenes has a bad influence on the mo-ving object detection from moving imaging platforms such as missiles and unmanned flying vehicles.In order to detect the moving objects in non-planar scenes rapidly and effectively,a novel algorithm combining gradient sup-pression with epipolar constraint is proposed.Firstly,the gradient suppression algorithm(GSA)is adopted to filter the parallax occurring on the edge of the background.Secondly,as the GSA cannot remove the parallax completely in the case of large angle camera rotation,the epipolar constraint is applied to the remaining pixels to separate the parallax from them.Finally,in order to obtain the boundary of the moving objects,the detected pixels of the moving objects are classified by the projection method of binary images.The experiment results show that the proposed algorithm has a good effect on the moving object detection in non-planar scenes,where the moving objects are all detected and their boundary are identified completely.
