Viewpoint-independent gait recognition through morphological descriptions of 3D human reconstructions
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- 作者：D. Ló ; pez-Ferná ; ndez1 ; i52lofed@uco.es" class="auth_mail" title="E-mail the corresponding author ; F.J Madrid-Cuevas1 ; fjmadrid@uco.es" class="auth_mail" title="E-mail the corresponding author ; A. Carmona-Poyato1 ; ma1capoa@uco.es" class="auth_mail" title="E-mail the corresponding author ; M.J. Marí ; n-Jimé ; nez1 ; mjmarin@uco.es" class="auth_mail" title="E-mail the corresponding author ; R. Muñ ; oz-Salinas1 ; rmsalinas@uco.es" class="auth_mail" title="E-mail the corresponding author ; R. Medina-Carnicer1 ; rmedina@uco.es" class="auth_mail" title="E-mail the corresponding author
- 关键词：Gait recognition ; Morphology ; View-independent ; Appearance-based ; 3D reconstruction ; Histogram
- 刊名：Image and Vision Computing
- 出版年：2016
- 出版时间：April-May 2016
- 年：2016
- 卷：48-49
- 期：Complete
- 页码：1-13
- 全文大小：2340 K
文摘
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We propose a new model-free approach for gait recognition.
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The recognition is achieved independently of the trajectory.
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Our method is based on 3D morphological analysis of gait sequences.
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Our approach is able to identify people walking on curved paths.