CASIA OpenIR  > 模式识别国家重点实验室  > 图像与视频分析
Dynamic scene understanding by improved sparse topical coding
Fu, Wei; Wang, Jinqiao; Lu, Hanqing; Ma, Songde
Source PublicationPATTERN RECOGNITION
2013-07-01
Volume46Issue:7Pages:1841-1850
SubtypeArticle
AbstractThe explosive growth of cameras in public areas demands a technique which develops a fully automated surveillance and monitoring system. In this paper, we propose a novel unsupervised approach to automatically explore motion patterns occurring in dynamic scenes under an improved sparse topical coding (STC) framework. Given an input video, it is segmented into a sequence of clips without overlapping. Optical flow features are extracted from each pair of consecutive frames, and quantized into discrete visual flow words. Each video clip is interpreted as a document and visual flow words as words within the document. Then the improved STC is applied to explore latent patterns which represent the common motion distributions of the scene. Finally, each video clip is represented as a weighted summation of these patterns with only a few non-zero coefficients. The proposed approach is purely data-driven and scene independent, which make it suitable for very large range applications of scenarios, such as rule mining and abnormal event detection. Experimental results and comparisons on various public datasets demonstrate the promise of the proposed approach. Crown Copyright (C) 2012 Published by Elsevier Ltd. All rights reserved.
KeywordMotion Patterns Sparse Topical Coding Scene Understanding
WOS HeadingsScience & Technology ; Technology
DOI10.1016/j.patcog.2012.11.013
WOS KeywordCLASSIFICATION
Indexed BySCI
Language英语
Funding Organization973 Program(2010CB327905) ; National Natural Science Foundation of China(61070104 ; 60905008 ; 61273034)
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000317886600011
Citation statistics
Cited Times:18[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/3372
Collection模式识别国家重点实验室_图像与视频分析
Corresponding AuthorWang, Jinqiao
AffiliationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Fu, Wei,Wang, Jinqiao,Lu, Hanqing,et al. Dynamic scene understanding by improved sparse topical coding[J]. PATTERN RECOGNITION,2013,46(7):1841-1850.
APA Fu, Wei,Wang, Jinqiao,Lu, Hanqing,&Ma, Songde.(2013).Dynamic scene understanding by improved sparse topical coding.PATTERN RECOGNITION,46(7),1841-1850.
MLA Fu, Wei,et al."Dynamic scene understanding by improved sparse topical coding".PATTERN RECOGNITION 46.7(2013):1841-1850.
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