CASIA OpenIR  > 模式识别国家重点实验室  > 生物识别与安全技术研究
Principal motion components for one-shot gesture recognition
Escalante, Hugo Jair1,2; Guyon, Isabelle2; Athitsos, Vassilis3; Jangyodsuk, Pat3; Wan, Jun4
Source PublicationPATTERN ANALYSIS AND APPLICATIONS
2017-02-01
Volume20Issue:1Pages:167-182
SubtypeArticle
AbstractThis paper introduces principal motion components (PMC), a new method for one-shot gesture recognition. In the considered scenario a single training video is available for each gesture to be recognized, which limits the application of traditional techniques (e.g., HMMs). In PMC, a 2D map of motion energy is obtained per each pair of consecutive frames in a video. Motion maps associated to a video are processed to obtain a PCA model, which is used for recognition under a reconstruction-error approach. The main benefits of the proposed approach are its simplicity, easiness of implementation, competitive performance and efficiency. We report experimental results in one-shot gesture recognition using the ChaLearn Gesture Dataset; a benchmark comprising more than 50,000 gestures, recorded as both RGB and depth video with a Kinect (TM) camera. Results obtained with PMC are competitive with alternative methods proposed for the same data set.
KeywordMotion Energy Maps Pca One-shot Learning Gesture Recognition Chalearn Gesture Challenge
WOS HeadingsScience & Technology ; Technology
DOI10.1007/s10044-015-0481-3
WOS KeywordPCA ; RECONSTRUCTION ; HISTOGRAMS
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000393053200012
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/14370
Collection模式识别国家重点实验室_生物识别与安全技术研究
Affiliation1.Inst Nacl Astrfis Opt & Elect, Luis Enrique Erro 1, Puebla 72840, Mexico
2.ChaLearn, 955 Creston Rd, Berkeley, CA 94708 USA
3.Univ Texas Arlington, Comp Sci & Engn Dept, 701 S Nedderman Dr, Arlington, TX 76019 USA
4.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Escalante, Hugo Jair,Guyon, Isabelle,Athitsos, Vassilis,et al. Principal motion components for one-shot gesture recognition[J]. PATTERN ANALYSIS AND APPLICATIONS,2017,20(1):167-182.
APA Escalante, Hugo Jair,Guyon, Isabelle,Athitsos, Vassilis,Jangyodsuk, Pat,&Wan, Jun.(2017).Principal motion components for one-shot gesture recognition.PATTERN ANALYSIS AND APPLICATIONS,20(1),167-182.
MLA Escalante, Hugo Jair,et al."Principal motion components for one-shot gesture recognition".PATTERN ANALYSIS AND APPLICATIONS 20.1(2017):167-182.
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