CASIA OpenIR  > 智能感知与计算研究中心
License Plate Localization With Efficient Markov Chain Monte Carlo
Lijun, Cao; Xu, Zhang; Weihua, Chen; Kaiqi, Huang
2014-06
Conference NameInternational Conference on Internet Multimedia Computing and Service
Source PublicationProceeding of International Conference on Internet Multimedia Computing and Service
Conference Date2014-6
Conference Place厦门
AbstractThis paper presents a novel efficient Markov Chain Monte
Carlo (MCMC) method for License Plate (LP) localization.
The proposed method formulates the LP image feature and
prior knowledge into a unified Bayesian framework. Then
the localization problem is derived as a maximizing-a-posterior
(MAP) problem, which integrates color, edge and character
feature of LP. We propose an efficient MCMC method,
taking integrated local geometrical likelihood as proposal
probability to make the inference feasible. The experimental
results on real dataset are very promising in terms of
detection rate and localization accuracy.
KeywordLicense Plate Localization Feature Likelihood Mcmc Proposal Probability
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/11838
Collection智能感知与计算研究中心
Corresponding AuthorLijun, Cao
Affiliation中国科学院自动化研究所
Recommended Citation
GB/T 7714
Lijun, Cao,Xu, Zhang,Weihua, Chen,et al. License Plate Localization With Efficient Markov Chain Monte Carlo[C],2014.
Files in This Item: Download All
File Name/Size DocType Version Access License
License Plate Locali(389KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Lijun, Cao]'s Articles
[Xu, Zhang]'s Articles
[Weihua, Chen]'s Articles
Baidu academic
Similar articles in Baidu academic
[Lijun, Cao]'s Articles
[Xu, Zhang]'s Articles
[Weihua, Chen]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Lijun, Cao]'s Articles
[Xu, Zhang]'s Articles
[Weihua, Chen]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: License Plate Localization With Efficient Markov Chain Monte Carlo.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

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