سال انتشار: ۱۳۸۵
محل انتشار: چهارمین کنفرانس ماشین بینایی و پردازش تصویر
تعداد صفحات: ۹
Hadi Sadoghi Yazdi – Engineering Department Tarbiat Moallem University of Sabzevar, Sabzevar, Iran
Seyed ebrahim Hosseini – Engineering Department Tarbiat Moallem University of Sabzevar, Sabzevar, Iran
the tracking purpose. Blob detection is performed using the dynamic background difference method. The basic idea of the proposed EKF is to linearize the state-space model at each time instant in the High Dimensional Space (HDS). The HDS helps to have a linear space
from nonlinear space. In this space, standard Kalman filter can apply for getting best results in estimation and prediction procedures. It is proven that MSE and error variance in this space is less than input space. Experimental results are based on computer simulation,
indoor and outdoor scenes and demonstrate the system’s robustness under partial or full occlusions of pedestrians.