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一种基于粒子滤波的改进红外目标跟踪算法
引用本文:朱瑞奇,齐乃新,张胜修,曹立佳.一种基于粒子滤波的改进红外目标跟踪算法[J].四川兵工学报,2014(3):133-136.
作者姓名:朱瑞奇  齐乃新  张胜修  曹立佳
作者单位:第二炮兵工程大学304室,西安710025
摘    要:针对传统红外目标粒子滤波跟踪中仅利用目标灰度信息可能导致目标分辨能力不高的问题,构建了基于位置和灰度的联合时空灰度模型,提出了一种基于联合时空直方图的粒子滤波目标跟踪算法,实验表明:在复杂背景下,该算法能够实现对红外目标稳健的跟踪。

关 键 词:联合时空灰度模型  红外目标  粒子滤波  跟踪

Improved Infrared Object Tracking Algorithm Based on Particle Filter
Authors:ZHU Rui-qi  QI Nai-xin  ZHANG Sheng-xiu  CAO Li-jia
Affiliation:(The 304 Room of the Second Engineering Artillery University, Xi' an 710025, China)
Abstract:Based on that the traditional particle filter infrared target tracking using only the target gray in formation may result in the ability to distinguish the target is not high, we construct a joint position and temporal gray model, and propose a joint spacetime histogram based particle filter target tracking algo rithm. Experiments show that in a complex context, the proposed algorithm can achieve robust infrared tar get tracking.
Keywords:Joint Histogram of time and space  infrared object  particle filter  object tracking
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