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
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
Indexed BySCI
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
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.
Files in This Item: Download All
File Name/Size DocType Version Access License
PAA2017_gesture.pdf(3519KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Escalante, Hugo Jair]'s Articles
[Guyon, Isabelle]'s Articles
[Athitsos, Vassilis]'s Articles
Baidu academic
Similar articles in Baidu academic
[Escalante, Hugo Jair]'s Articles
[Guyon, Isabelle]'s Articles
[Athitsos, Vassilis]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Escalante, Hugo Jair]'s Articles
[Guyon, Isabelle]'s Articles
[Athitsos, Vassilis]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: PAA2017_gesture.pdf
Format: Adobe PDF
All comments (0)
No comment.

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