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一种基于多特征融合的视频目标跟踪方法
A video tracking method based on object multi-feature fusion

查看参考文献18篇

柳培忠 1   阮晓虎 2   田震 2 *   李卫军 2   覃鸿 2  
文摘 在预警系统和目标记录方面,传统的视频跟踪方法无法很好地解决目标重现和遮挡等问题,针对此类问题提出了一种融合多特征的视频目标跟踪方法,首先用背景建模的方法检测运动前景,分离目标图像,通过目标连续帧间的位移信息实现跟踪,对多目标帧间位移相近的情况,融合目标SIFT和彩色直方图特征进行目标匹配,并记录目标各帧的运动状态,最终实现目标运动的跟踪。实验结果表明,该方法对多目标缓慢变化的监控视频有较好的跟踪效果。
其他语种文摘 Video tracking is a vital technique for the application of intelligent video surveillance. In terms of pre- warning systems and event recording, traditional video tracking methods cannot solve the problems of object reappearance and shadows very well. To tackle these problems, a video tracking method based on object multi-feature fusion is proposed. Firstly, the foreground of a moving target was detected using the method of background modeling, and the image of the moving target was separated from the video frame. Then the target that had been detected currently was set to match the target that appeared previously through the location information of the sequential frames of the object. Furthermore, considering the failure of the location matching, the SIFT (scale invariant feature transform) and color histogram feature of the target image were extracted to match the different targets. The experimental results showed excellent performance of the real-time video tracking of multi-objects moving slowly in the general surveillance system.
来源 智能系统学报 ,2014,9(3):319-324 【核心库】
关键词 视频跟踪 ; 背景建模 ; 前景检测 ; 特征提取 ; 特征融合
地址

1. 华侨大学工学院, 福建, 泉州, 362000  

2. 中国科学院半导体研究所高速电路与神经网络实验室, 北京, 100083

语种 中文
文献类型 研究性论文
ISSN 1673-4785
学科 自动化技术、计算机技术
基金 国家自然科学基金
文献收藏号 CSCD:5175734

参考文献 共 18 共1页

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引证文献 1 篇

1 冯星辰 行人跟踪的多特征融合算法研究 信号处理,2016,32(11):1308-1317
被引 3 次

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