CASIA OpenIR  > 09年以前成果
Head gesture recognition based on Bayesian network
Lu, P; Huang, XS; Zhu, XS; Wang, YS; Marques, JS; PerezdelaBlanca, N; Pina, P
Source PublicationPATTERN RECOGNITION AND IMAGE ANALYSIS, PT 1, PROCEEDINGS
2005
Volume3522Pages:492-499
SubtypeArticle
AbstractHead gestures such as nodding and shaking are often used as one of human body languages for communication with each other, and their recognition plays an important role in the development of Human-Computer Interaction (HCI). As head gesture is the continuous motion on the sequential time series, the key problems of recognition are to track multi-view head and understand the head pose transformation. This paper presents a Bayesian network (BN) based framework, into which multi-view model (MVM) and the head gesture statistic inference model are integrated for recognizing. Finally the decision of head gesture is made by comparing the maximum posterior, the output of BN, with some threshold. Additionally, in order to enhance the robustness of our system, we add the color information into BN in a new way. The experimental results illustrate that the proposed algorithm is effective.
WOS HeadingsScience & Technology ; Technology
Indexed ByISTP ; SCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000230026900060
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9079
Collection09年以前成果
AffiliationChinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Lu, P,Huang, XS,Zhu, XS,et al. Head gesture recognition based on Bayesian network[J]. PATTERN RECOGNITION AND IMAGE ANALYSIS, PT 1, PROCEEDINGS,2005,3522:492-499.
APA Lu, P.,Huang, XS.,Zhu, XS.,Wang, YS.,Marques, JS.,...&Pina, P.(2005).Head gesture recognition based on Bayesian network.PATTERN RECOGNITION AND IMAGE ANALYSIS, PT 1, PROCEEDINGS,3522,492-499.
MLA Lu, P,et al."Head gesture recognition based on Bayesian network".PATTERN RECOGNITION AND IMAGE ANALYSIS, PT 1, PROCEEDINGS 3522(2005):492-499.
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