CAJ | 학술논문

为消除前景图像的阴影，提出了一种基于尺度不变局部三元模式（SILTP）的视频图像背景建模算法。该算法利用图像帧级、图像块级和像素级三级信息进行设计。在图像帧级，利用全局灰度均值处理亮度突变；在图像块级，利用 SILTP 纹理图像基于图像块进行背景建模，快速定位前景目标大致轮廓；在像素级，用类 ViBe 算法检测前景目标精确边界。实验表明该算法不仅可有效消除前景图像的阴影，对复杂场景亦具有较好适应性。
위소제전경도상적음영，제출료일충기우척도불변국부삼원모식（SILTP）적시빈도상배경건모산법。해산법이용도상정급、도상괴급화상소급삼급신식진행설계。재도상정급，이용전국회도균치처리량도돌변；재도상괴급，이용 SILTP 문리도상기우도상괴진행배경건모，쾌속정위전경목표대치륜곽；재상소급，용류 ViBe 산법검측전경목표정학변계。실험표명해산법불부가유효소제전경도상적음영，대복잡장경역구유교호괄응성。
To remove shadows from foreground objects ,an algorithm for background subtraction based on Scale‐invariant model of local pattern (SILTP) was proposed .The algorithm was designed by fusing three levels of information from the frame , region and pixel levels . The frame level detects sudden , global changes between frames by the global mean gray value .At the region level , the SILTP operator was utilized to get the texture images .Then the texture histograms were used to model background ,so as to quickly find contours of moving objects in the frame sequence . The pixel‐level obtains object contours accurately using similar‐ViBe algorithm . Exhaustive experimental evaluations on complex scenes show efficiency of the proposed method .