Gait analysis for recognition and classification
Top Cited Papers
- 25 June 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
We describe a representation of gait appearance for the purpose of person identification and classification. This gait representation is based on simple features such as moments extracted from orthogonal view video silhouettes of human walking motion. Despite its simplicity, the resulting feature vector contains enough information to perform well on human identification and gender classification tasks. We explore the recognition behaviors of two different methods to aggregate features over time under different recognition tasks. We demonstrate the accuracy of recognition using gait video sequences collected over different days and times and under varying lighting environments. In addition, we show results for gender classification based our gait appearance features using a support-vector machine.Keywords
This publication has 12 references indexed in Scilit:
- Integrated face and gait recognition from multiple viewsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Adaptive background mixture models for real-time trackingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Detecting activitiesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Tracking people with twists and exponential mapsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- The FERET evaluation methodology for face-recognition algorithmsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- The recognition of human movement using temporal templatesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2001
- Robust real-time periodic motion detection, analysis, and applicationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2000
- Statistical gait recognition via velocity momentsPublished by Institution of Engineering and Technology (IET) ,2000
- A biomechanical invariant for gait perception.Journal of Experimental Psychology: Human Perception and Performance, 1978
- Recognizing the sex of a walker from a dynamic point-light displayPerception & Psychophysics, 1977