Analysis and recognition of walking movements
- 25 June 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1 (10514651) , 315-318
- https://doi.org/10.1109/icpr.2002.1044702
Abstract
We present an approach for recognizing human walking movements using low-level motion regularities and constraints. Biomechanical features for classification are automatically extracted from video sequences of walkers. A multiplicative classification rule using statistical distances is then used to determine whether an unknown motion is consistent with normal walking patterns. Recognition results are shown distinguishing walking examples across multiple speeds from other nonwalking locomotions.Keywords
This publication has 8 references indexed in Scilit:
- Low level recognition of human motion (or how to get your man without finding his body parts)Published by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- W/sup 4/: Who? When? Where? What? A real time system for detecting and tracking peoplePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- The representation and recognition of human movement using temporal templatesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Visual Categorization of Children and Adult Walking StylesPublished by Springer Nature ,2001
- The model-based human body motion analysis systemImage and Vision Computing, 2000
- Robust real-time periodic motion detection, analysis, and applicationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2000
- Recognising humans by gait via parametric canonical spaceArtificial Intelligence in Engineering, 1999
- Analyzing and recognizing walking figures in XYTPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1994