CAJ | 학술논문

针对灰度图像目标色彩信息贫乏从而易陷于局部相似，致使跟踪点发生漂移导致跟踪失败的问题，构建了一种基于均值偏移的改进算法，在直方图模式中加入了目标对比度均值差分、平均梯度强度及局部灰度概率等特征，增加了目标特征维数，对目标进行精细刻画。并结合粒子滤波，有效提高灰度成像目标的跟踪稳定性和精确定位问题。试验结果表明，这种方法能够在较复杂背景下及目标快速运动时对锁定目标进行有效的跟踪定位，跟踪误差小，鲁棒性较强。
침대회도도상목표색채신식빈핍종이역함우국부상사，치사근종점발생표이도치근종실패적문제，구건료일충기우균치편이적개진산법，재직방도모식중가입료목표대비도균치차분、평균제도강도급국부회도개솔등특정，증가료목표특정유수，대목표진행정세각화。병결합입자려파，유효제고회도성상목표적근종은정성화정학정위문제。시험결과표명，저충방법능구재교복잡배경하급목표쾌속운동시대쇄정목표진행유효적근종정위，근종오차소，로봉성교강。
An improved algorithm based on mean-shift for target tracking is proposed in order to overcome the problem of tracking point shift, which comes from partial similarity between target and its background due to lack of color information in the gray images. The contrast mean difference feature, average gradient feature and gray level probability feature of the target are added to the target histogram. The particle filtering is applied to enhance the sta?bility and accuracy for tracking the target in the gray images. The experiment shows that the algorithm can better adapt to the complex background of the moving target, and improves the robustness and accuracy of the algorithm.