A color-based tracking by Kalman particle filter

被引：14

作者：

Satoh, Y ^{[1
]}

Okatani, T ^{[1
]}

Deguchi, K ^{[1
]}

机构：

[1] Tohoku Univ, Grad Sch Informat Sci, Sendai, Miyagi 980, Japan

来源：

PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 3 | 2004年

关键词：

D O I：

10.1109/ICPR.2004.1334576

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper a method for real-time tracking of moving objects is proposed. We applied Kalman particle filter (KPF) to color-based tracking. This KPF is a particle filter including the principle of Kalman filter and it was adopted to the object contour tracking. We modified this KPF for color-based tracking. This modified KPF can approximate the probabilistic density of the position of the tracked object properly and needs fewer particles for tracking than conventional particle filters. We made experiments to confirm effectiveness of this method.

引用

页码：502 / 505

页数：4

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