Detailed Information on Publication Record
2014
MotionMatch: Motion Recognition Technology
SEDMIDUBSKÝ, Jan, Jakub VALČÍK and Pavel ZEZULABasic information
Original name
MotionMatch: Motion Recognition Technology
Authors
SEDMIDUBSKÝ, Jan (203 Czech Republic, guarantor, belonging to the institution), Jakub VALČÍK (203 Czech Republic, belonging to the institution) and Pavel ZEZULA (203 Czech Republic, belonging to the institution)
Edition
2014
Other information
Language
English
Type of outcome
Software
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
RIV identification code
RIV/00216224:14330/14:00073244
Organization unit
Faculty of Informatics
Keywords in English
person identification; motion recognition; motion retrieval
Technical parameters
The more detailed information about this technology along with the information about software acquisition is available at: http://disa.fi.muni.cz/trac/motionmatch/.
Odpovědná osoba pro jednání: prof. Ing. Pavel Zezula, CSc., Fakulta informatiky, Masarykova univerzita, Botanická 68a, Brno, tel.: 54949 7992
Tags
Tags
International impact
Změněno: 23/5/2015 12:55, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
MotionMatch is a software technology for recognizing persons according to the way they walk. The recognition process is based on analysis of motion capture data which can be acquired by motion capturing devices, including popular Microsoft Kinect and ASUS Xtion. The acquired data are firstly preprocessed by detecting walking cycles and extracting movement features in form of relative velocities of the specific joints for each walking cycle. Then individual walking cycles can be mutually compared to calculate their similarity. A proposed classification method is finally used to recognize the person who has performed a query motion. The current version of the MotionMatch technology is demonstrated via a web application that allows users to select a query motion and verify whether the technology recognizes the query person correctly.
Links
| VG20122015073, research and development project |
|