红外技术
紅外技術
홍외기술
INFRARED TECHNOLOGY
2014年
8期
639-643
,共5页
目标检测%目标跟踪%红外热像仪%图像纹理%链码%质心跟踪
目標檢測%目標跟蹤%紅外熱像儀%圖像紋理%鏈碼%質心跟蹤
목표검측%목표근종%홍외열상의%도상문리%련마%질심근종
target detection%target tracking%infrared thermography%image texture%chain code%centroid tracking method
针对隐蔽目标难于发现、复杂多变、信息量少等特点，提出了一种用红外热像仪检测与跟踪遮挡目标的方法。关于目标检测，首先利用模糊 C 均值聚类（fuzzy C-means clustering, FCM）对图像中的区域进行聚类，根据亮度信息初步分割出候选目标区域，然后用纹理信息进一步分割候选的目标区域，以检测出最终的目标区域；关于目标跟踪，由于被遮挡的目标轮廓不连贯，所以采用链码提取目标轮廓，并应用质心跟踪算法跟踪目标。通过实验，验证了该方法对遮挡目标检测和跟踪的有效性。
針對隱蔽目標難于髮現、複雜多變、信息量少等特點，提齣瞭一種用紅外熱像儀檢測與跟蹤遮擋目標的方法。關于目標檢測，首先利用模糊 C 均值聚類（fuzzy C-means clustering, FCM）對圖像中的區域進行聚類，根據亮度信息初步分割齣候選目標區域，然後用紋理信息進一步分割候選的目標區域，以檢測齣最終的目標區域；關于目標跟蹤，由于被遮擋的目標輪廓不連貫，所以採用鏈碼提取目標輪廓，併應用質心跟蹤算法跟蹤目標。通過實驗，驗證瞭該方法對遮擋目標檢測和跟蹤的有效性。
침대은폐목표난우발현、복잡다변、신식량소등특점，제출료일충용홍외열상의검측여근종차당목표적방법。관우목표검측，수선이용모호 C 균치취류（fuzzy C-means clustering, FCM）대도상중적구역진행취류，근거량도신식초보분할출후선목표구역，연후용문리신식진일보분할후선적목표구역，이검측출최종적목표구역；관우목표근종，유우피차당적목표륜곽불련관，소이채용련마제취목표륜곽，병응용질심근종산법근종목표。통과실험，험증료해방법대차당목표검측화근종적유효성。
One robust method of tracking targets in infrared imagery was proposed for detecting the hidden target that has the characteristics of being hard to be found, complex, changeable and less information, etc. About target detection, fuzzy C-means clustering was used to cluster the regions in the image firstly and the candidate target area was segmented according to the brightness information preliminary, then further segmentation was made by texture energy. At last, the target area was detected. As for the hidden target with no consistent contour, the chain code method was used to extract the target contour, and target was tracked through centroid tracking algorithm. The experiment results show that the method is effective for occlusion target detection and tracking.
