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From motion patterns to visual concepts for event analysis in dynamic scenes
Xin, L; Tan, TN; Narayanan, PJ; Nayar, SK; Shum, HY
Source PublicationCOMPUTER VISION - ACCV 2006, PT I
2006
Volume3851Pages:826-835
SubtypeArticle
AbstractThe analysis of events in dynamic scenes has become an important and challenging problem increasingly in recent years. Events can be considered as obvious changes of important features with semantic meanings. From this viewpoint, the fundamental task of events analysis is to extract semantically meaningful changes and associate all of these basic motion patterns and changes with relevant visual concepts of moving objects in dynamic scenes. In this paper, we propose a method to extract lower level motion patterns and associate them with visual concepts respectively in a well-defined structure. Furthermore we also analyze latent spatial-temporal relationships among these basic visual concepts for event modeling and analysis. Finally, we present experimental results which prove the effectiveness of our approach on some realworld videos of dynamic scenes.
WOS HeadingsScience & Technology ; Technology
WOS KeywordIMAGE SEQUENCES ; MARKOV-MODELS ; RECOGNITION
Indexed ByISTP ; SCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000235772300083
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9246
Collection09年以前成果
AffiliationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Xin, L,Tan, TN,Narayanan, PJ,et al. From motion patterns to visual concepts for event analysis in dynamic scenes[J]. COMPUTER VISION - ACCV 2006, PT I,2006,3851:826-835.
APA Xin, L,Tan, TN,Narayanan, PJ,Nayar, SK,&Shum, HY.(2006).From motion patterns to visual concepts for event analysis in dynamic scenes.COMPUTER VISION - ACCV 2006, PT I,3851,826-835.
MLA Xin, L,et al."From motion patterns to visual concepts for event analysis in dynamic scenes".COMPUTER VISION - ACCV 2006, PT I 3851(2006):826-835.
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