Robust visual tracking method based on elliptical region covariance descriptor and Kalman particle filter
Zonghai Chen · Kongzhi yu juece · 2011
Rectangular region covariance descriptor used in traditional and probabilistic covariance tracking can not reflect object’s non-rigid deformation precisely.Therefore,a covariance descriptor,elliptical region covariance descriptor,is proposed,which enables efficient fusion of a diversity of features and modalities into a unified feature model of multi-cue integration for visual tracking.Further combining this descriptor with Kalman particle filter,a robust visual tracking method is proposed.Experimental results show the proposed methed has robustness to illumination changes,noise disturbance,partial and fully occlusion,scale variation,rotation and abrupt object movement.