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Real-time one-dimensional motion estimation and its application in computer vision
Cong Y(丛杨); Gong, Haifeng; Tang YD(唐延东); Ge, Shuzhi Sam; Luo JB(罗杰波)
作者部门机器人学研究室
关键词One-dimensional Optical FLow Motion Estimation Crowd Counting Dynamic Programming Visual Odometry
发表期刊Machine Vision and Applications
ISSN0932-8092
2015
卷号26期号:5页码:633-648
收录类别SCI ; EI
EI收录号20152300907634
WOS记录号WOS:000356094700006
产权排序1
资助机构NSFC [61375014] ; Foundation of Chinese Scholarship Council
摘要Traditional optical flow methods are designed to generate two-dimensional (2D) motion fields. However in some applications, only the motion field along a predefined line is needed, while the rest of the redundant 2D region (Cong et al., CVPR, 2009) can be ignored. In this paper, we propose a general framework for estimating one-dimensional (1D) motion field using the (Formula presented.) norm metric, which can be flexible for adding any constraints depending on the specific intention. Compared with 2D methods in model calculation, which often obtain a local optimal solution, our 1D version has the advantage of real-time global optimization and sub-pixel accuracy with a large displacement capacity. The synthesized experiments have justified the effectiveness of our 1D model. Two vision applications are investigated: (i) for crowd counting, we design a novel unified framework for both line of interest and region of interest counting using our 1D motion model to mosaic the dynamic blobs. Such a framework can adapt to new site without scene-specific learning and overcome overfitting. (ii) For visual odometry, we apply our 1D model to estimate the linear velocity of the robot in real time and obtain a comparable result with the benchmark Encoder. Experiments verified that our proposed model can produce satisfactory results in real time.
语种英语
WOS标题词Science & Technology ; Technology
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Cybernetics ; Engineering, Electrical & Electronic
关键词[WOS]OPTICAL-FLOW ESTIMATION ; VISUAL ODOMETRY ; CROWDED SCENES ; IMAGE ; ALGORITHM ; FRAMEWORK ; MULTIPLE ; SYSTEM ; VIDEO
WOS研究方向Computer Science ; Engineering
引用统计
被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/16232
专题机器人学研究室
通讯作者Cong Y(丛杨)
作者单位1.State Key Laboratory of Robotics, Shenyang Institute of Automation, CAS, Shenyang, China
2.Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
3.Lotus Hill Institute, Ezhou, China
4.Google, Mountain view, United States
5.Department of Computer Science, University of Rochester, Rochester, United States
推荐引用方式
GB/T 7714
Cong Y,Gong, Haifeng,Tang YD,et al. Real-time one-dimensional motion estimation and its application in computer vision[J]. Machine Vision and Applications,2015,26(5):633-648.
APA Cong Y,Gong, Haifeng,Tang YD,Ge, Shuzhi Sam,&Luo JB.(2015).Real-time one-dimensional motion estimation and its application in computer vision.Machine Vision and Applications,26(5),633-648.
MLA Cong Y,et al."Real-time one-dimensional motion estimation and its application in computer vision".Machine Vision and Applications 26.5(2015):633-648.
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