SIA OpenIR  > 机器人学研究室
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)
Department机器人学研究室
Source PublicationMachine Vision and Applications
ISSN0932-8092
2015
Volume26Issue:5Pages:633-648
Indexed BySCI ; EI
EI Accession number20152300907634
WOS IDWOS:000356094700006
Contribution Rank1
Funding OrganizationNSFC [61375014] ; Foundation of Chinese Scholarship Council
KeywordOne-dimensional Optical FLow Motion Estimation Crowd Counting Dynamic Programming Visual Odometry
AbstractTraditional 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.
Language英语
WOS HeadingsScience & Technology ; Technology
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Cybernetics ; Engineering, Electrical & Electronic
WOS KeywordOPTICAL-FLOW ESTIMATION ; VISUAL ODOMETRY ; CROWDED SCENES ; IMAGE ; ALGORITHM ; FRAMEWORK ; MULTIPLE ; SYSTEM ; VIDEO
WOS Research AreaComputer Science ; Engineering
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/16232
Collection机器人学研究室
Corresponding AuthorCong Y(丛杨)
Affiliation1.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
Recommended Citation
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.
Files in This Item: Download All
File Name/Size DocType Version Access License
Real-time one-dimens(5116KB)期刊论文出版稿开放获取ODC PDDLView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Cong Y(丛杨)]'s Articles
[Gong, Haifeng]'s Articles
[Tang YD(唐延东)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Cong Y(丛杨)]'s Articles
[Gong, Haifeng]'s Articles
[Tang YD(唐延东)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Cong Y(丛杨)]'s Articles
[Gong, Haifeng]'s Articles
[Tang YD(唐延东)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Real-time one-dimensional motion estimation and its application in computer vision.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.