CAJ | 학술논문

传统的窗口固定的粒子滤波跟踪算法在运动目标尺度发生明显变化时不能有效地跟踪目标。针对这一问题，提出了一种跟踪窗口尺寸和方向自适应变化的粒子滤波跟踪方法。该方法将主成分分析法引入到粒子滤波框架中，通过分析目标区域内像素值的协方差矩阵得到包含目标区域取向和尺寸信息的椭圆跟踪窗口。实验结果表明，该跟踪算法能自适应于目标区域形状的变化，在目标尺寸和方向发生变化时能很好地跟踪和确定目标区域。
전통적창구고정적입자려파근종산법재운동목표척도발생명현변화시불능유효지근종목표。침대저일문제，제출료일충근종창구척촌화방향자괄응변화적입자려파근종방법。해방법장주성분분석법인입도입자려파광가중，통과분석목표구역내상소치적협방차구진득도포함목표구역취향화척촌신식적타원근종창구。실험결과표명，해근종산법능자괄응우목표구역형상적변화，재목표척촌화방향발생변화시능흔호지근종화학정목표구역。
An adaptive bandwidth object tracking method based on particle filter was proposed. Classic Particle Filter based tracking algorithm uses fixed kernel-bandwidth, as the scale changes obviously, the target may not be tracked effectively. So the principal component analysis method was introduced into the particle filtering framework to analysis the covariance matrix of the pixels within the target region. Then the most ideal tracking window including target direction and scale can be calculated. The experimental results show that the method can be adaptive to the variation of local structure of the target, moreover, spatial location and scale are good.