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视觉注意驱动的测地线主动轮廓模型及其应用

Visual Attention-Driven Geodesic Active Contour Model and Its Application

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摘要

针对前视红外时间序列图像,提出一种运动目标自动检测方法。利用三维(3D)时空纹理向量的变化度量运动特征,在视觉注意框架下,给出了运动目标的显著性定义。采用光流累加法校验并提取显著性运动区域作为视觉注意区域,将注意区域边界视作测地线主动轮廓的吸引力驱动可变形轮廓收敛于显著性运动目标,并利用目标梯度边缘作为收敛条件。实验结果表明,所提方法是合理、有效的。与传统运动检测方法相比,所提方法能够辨别冗余运动信息,对速率较快和较慢的运动对象以及噪声具有良好的稳健性。利用基于水平集的曲线演化计算能够同时给出多目标的边界定位,可为后续的识别跟踪以及3D重建与表示提供可靠依据。

Abstract

In order to detect multi-motion targets in time sequenced forward looking infared (FLIR) images, a novel automatic detection method is proposed. First, the speed of 3D spatiotemporal texture vectors is used to measure motion features. Then, the saliency of motion target is defined under the frame of visual attention. So salient moving objects are detected and extracted by accumulating directionally-consistent optical flow. The regions are regarded as final visual attention regions. An improved geodesic active contour model is built, where the topology-free deformable evolving curve is attracted by the boundaries of attention regions. A gradient based convergence term forces the curves evolution to stop on the object boundaries. The validity of the proposed method is proved experimentally and the results of multi-dataset are given. Compared to other traditional methods, the proposed method has a good noise tolerance and can handle fast or slow image variations. It has no response to unnecessary motion and only focuses on the salient motion targets. The multiple targets boundaries are located due to implementation of level set scheme, which gives a reliable input for targets identifying and tracking or 3D reconstruction and representation.

Newport宣传-MKS新实验室计划
补充资料

中图分类号:TP391

DOI:10.3788/aos20103010.2800

所属栏目:物理光学

责任编辑:刘美红  信息反馈

基金项目:河北省教育厅科学发展计划(2006455)资助课题。

收稿日期:2010-06-17

修改稿日期:2010-08-03

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作者单位    点击查看

刘斌:燕山大学测试计量技术及仪器河北省重点实验室, 河北 秦皇岛 066004
胡春海:燕山大学测试计量技术及仪器河北省重点实验室, 河北 秦皇岛 066004

联系人作者:刘斌(qhdlb1981@163.com)

备注:刘斌(1981—),男,博士研究生,主要从事视觉检测和目标识别等方向的研究。

【1】Ming Ying, Jiang Jingjue. Background modeling and moving-objects detection based on cauchy distribution for video sequence [J]. Acta Optica Sinica, 2008, 28(3): 587~591
明英, 蒋晶珏. 基于柯西分布的视频图像序列背景建模和运动目标检测[J]. 光学学报, 2008, 28(3): 587~591

【2】Guan Zhiqiang, Chen Qian, Gu Guohua et al.. Dim target detection based on optical flow histogram in low frame frequence in clouds background[J]. Acta Optica Sinica, 2008, 28(8): 1496~1500
管志强, 陈钱, 顾国华 等. 基于光流直方图的云背景下低帧频小目标探测方法[J]. 光学学报, 2008, 28(8): 1496~1500

【3】Luo Huan, Yu Lei, Liao Jun et al.. Tracking framework for small infrared multi-target in complex background [J]. Acta Optica Sinica, 2009, 29(6): 1536~1541
罗寰, 于雷, 廖俊 等. 复杂背景下红外弱小多目标跟踪系统[J]. 光学学报, 2009, 29(6): 1536~1541

【4】P. Nikos, D. Rachid. Geodesic active contours and level sets for the detection and tracking of moving objects [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(3): 266~280

【5】Yu Huimin, You Yusai. Detecting and segmenting multiple moving objects using level-set method [J]. J. Zhejiang University (Engineering Science), 2007, 41(3): 412~417
于慧敏, 尤育赛. 基于水平集的多运动目标检测和分割[J]. 浙江大学学报(工学版), 2007, 41(3): 412~417

【6】L. Wixson. Detecting salient motion by accumulating directionally flow[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(8): 774~779

【7】Tian Yingli, A. Hampapur. Robust salient motion detection with complex background for real-time video surveillance [C]. Proceedings of the IEEE Workshop on Motion and Video Computing, 2005, 2: 30~35

【8】Hao Zhicheng, Wu Chuan. Moving object detection from dynamic image sequence based on stability matrix[J]. Acta Optica Sinica, 2009, 29(11): 3031~3035
郝志成, 吴川. 基于稳定矩阵的动态图像运动目标检测[J]. 光学学报, 2009, 29(11): 3031~3035

【9】C. Stauffer, W. E. L. Grimson. Learning patterns of activity using real-time tracking [J]. IEEE PAMI, 2000, 22(8): 747~757

【10】J. L. Longin, P. Dragoljub. Tracking motion objects in infrared videos [C]. Proc. IEEE Int. Conf. on Advanced Video and Signal Based Surveillance, Como, 2005, 15-16: 99~104

【11】T. Jolliffe. Principal Component Analysis [M]. 2nd Edition, New York: Springer Verlag Press, 2002. 233~263

引用该论文

Liu Bin,Hu Chunhai. Visual Attention-Driven Geodesic Active Contour Model and Its Application[J]. Acta Optica Sinica, 2010, 30(10): 2800-2805

刘斌,胡春海. 视觉注意驱动的测地线主动轮廓模型及其应用[J]. 光学学报, 2010, 30(10): 2800-2805

被引情况

【1】龚芳,张学武,孙浩. 基于独立分量分析和粒子群算法的太阳能电池表面缺陷红外热成像检测. 光学学报, 2012, 32(4): 415002--1

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