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@misc{1309116, author = {Sedmidubský, Jan and Valčík, Jakub and Zezula, Pavel}, keywords = {multi-modal person identification; face recognition; walk cycle recognition; motion retrieval}, language = {eng}, institution = {Masarykova univerzita}, organization = {Masarykova univerzita}, title = {Multi-modal Person Identification}, url = {http://disa.fi.muni.cz/prototype-applications/person-identification/}, year = {2015} }
TY - ID - 1309116 AU - Sedmidubský, Jan - Valčík, Jakub - Zezula, Pavel PY - 2015 TI - Multi-modal Person Identification KW - multi-modal person identification KW - face recognition KW - walk cycle recognition KW - motion retrieval UR - http://disa.fi.muni.cz/prototype-applications/person-identification/ L2 - http://disa.fi.muni.cz/prototype-applications/person-identification/ N2 - Multi-modal Person Identification (MMPI) is a software technology for multi-modal recognition of persons according to their faces and the way they walk. The recognition process is based on analysis of detected face images and motion capture data — both acquired by motion capturing devices, including popular Microsoft Kinect and ASUS Xtion. The acquired data are firstly preprocessed by (1) detecting face images and extracting MPEG-7 face features and (2) detecting walk cycles and extracting movement features in form of relative velocities of the specific joints for each walk cycle. Both the face and walk-cycle features extracted from a query motion are used to retrieve two independent sets of the most similar faces and walk cycles. These retrieved sets are processed by a multi-modal classification method to recognize the query person identity. The MMPI 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. ER -
SEDMIDUBSKÝ, Jan, Jakub VALČÍK a Pavel ZEZULA. \textit{Multi-modal Person Identification}. 2015.
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