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杂波环境下基于视听信息融合的目标跟踪
引用本文:曹洁,魏建勇.杂波环境下基于视听信息融合的目标跟踪[J].兰州理工大学学报,2009,35(3).
作者姓名:曹洁  魏建勇
作者单位:兰州理工大学,电气工程与信息工程学院,甘肃,兰州,730050
摘    要:以监控系统为研究背景,充分利用场景中视听媒体间存在的天然时空相关性,将视觉信息和听觉信息有效地融合从而实现对目标的快速跟踪.利用机器视觉相关理论提取视觉运动特征,利用计算听觉场景分析技术抽取音频场景特征,建立视听信息特征级融合模型并进行联合场景事件判断.仿真结果表明,应用视听信息融合对目标进行跟踪,预测误差小于单独基于视觉的目标跟踪,同时听觉信息的引入有助于克服图像噪声.

关 键 词:信息融合  特征提取  目标跟踪  卡尔曼滤波

Target tracking in clutter environment based on audio-video information fusion
CAO Jie,WEI Jian-yong.Target tracking in clutter environment based on audio-video information fusion[J].Journal of Lanzhou University of Technology,2009,35(3).
Authors:CAO Jie  WEI Jian-yong
Affiliation:CAO Jie,WEI Jian-yong(College of Electrical and Information Engineering,Lanzhou Univ.of Tech.,Lanzhou 730050,China)
Abstract:Taking surveillance system as investigation background,a fast target tracking was realized by means of full utilization of natural spatial-temporal correlation of audio and video media with each other in scene and effective information fusion of these two media.Visual features of motion were extracted by using the machine vision-related theory,and the technique of computational auditory scene analysis was used to extract the features of audio scene,so that a model of audio-video information fusion at featur...
Keywords:information fusion  feature extracting  target tracking  Kalman filtering  
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