摘要
提出了一个利用颜色特征实时跟踪非刚性物体的方法 .首先 ,建立了一个颜色分布模型 ,该模型对部分遮挡具鲁棒性 ,对放缩和旋转具不变性 ,且计算简单 .对非刚体物体的实时鲁棒跟踪是一个非常有挑战性的课题 ,本文提出了利用颜色特征实时跟踪非刚体物体的方法 .首先 ,建立了一个颜色分布模型 ,该模型对部分遮挡具有鲁棒性 ,对放缩具有不变性 ,而且计算简单 .然后 ,采用粒子滤波的方法将颜色分布模型集成到一个动态状态估计的概率框架中 .为了处理光照变化等引起的外貌变化 ,进一步引入自适应模型更新过程 .同时 。
Robust real-time tracking of non-rigid objects is a challenging task. Color distributions provide an efficient feature for this kind of tracking problems as they are robust to partial occlusion, are rotation and scale invariant and computationally efficient. This article presents the integration of color distributions into particle filtering, which has typically been used in combination with edge-based image features. Particle filters offer a probabilistic framework for dynamic state estimation and have proven to work well in cases of clutter and occlusion. To overcome the problem of appearance changes, an adaptive model update is introduced during temporally stable image observations. Furthermore, an initialization strategy is discussed since tracked objects may disappear and reappear.
出处
《自动化学报》
EI
CSCD
北大核心
2003年第3期345-355,共11页
Acta Automatica Sinica
基金
SupportbytheEuropeanISTprojectSTAR (IST 2 0 0 0 2 8764 )andbytheGOA/VHS +projectfinancedbytheResearchFundofKatholiekeUniversiteitLeuven,Belgium
