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基于多特征信息自适应融合的视频目标跟踪算法
引用本文:张涛,费树岷. 基于多特征信息自适应融合的视频目标跟踪算法[J]. 系统科学与数学, 2010, 30(6): 761-767
作者姓名:张涛  费树岷
作者单位:1. 青岛科技大学自动化与电子工程学院,青岛,210096
2. 东南大学自动化学院,南京,210096
摘    要:针对单一视觉特征跟踪的局限性,提出一种根据场景变化动态建立目标模型的粒子滤波视觉跟踪算法,方法首先选择简单且具有互补性的色彩与纹理特征描述表示当前图像,然后在粒子滤波框架下,利用民主融合策略进行信息融合,从而提高目标观测模型的鲁棒性;分析和实验表明, 算法对视频运动目标的任意平移、转动、部分遮挡、光照变化以及相似物干扰等情况下的跟踪均具有较好的效果.

关 键 词:粒子滤波   多特征   融合   目标跟踪.
收稿时间:2010-04-20

TARGET TRACKING WITH PARTICLE FILTER BASED ON MULTIPLE CUES FUSION
ZHANG Tao,FEI Shumin. TARGET TRACKING WITH PARTICLE FILTER BASED ON MULTIPLE CUES FUSION[J]. Journal of Systems Science and Mathematical Sciences, 2010, 30(6): 761-767
Authors:ZHANG Tao  FEI Shumin
Affiliation:(1)Colledge of Automation Electronic Engineering, Qingdao University of Sciences and Tecnology, Qingdao 510632;(2)School of Automation, Southeast University, Nanjing 510632
Abstract:To overcome the shortcoming of single visual cue in complex environments, a tracking algorithm based on the multi-cue adaptive fusion is proposed. The color cue and the texture based on the discrete wavelet transform (DWT) are utilized to describe the target. Through experiments, the result of better tracking are obtained in circumstances that the target is arbitrarily moving or rotating, partially or completely occlusion, as well as the light changes. When the target with similar color appears, the tracking algorithm with the texture model can distinguish the target, thus addressing the collision problem of similar targets.
Keywords:Particle filter  multiple cue  data fusion  target tracking.
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