1. A review of gait recognition based on vision
- Author
-
Baifeng Lin, Mengxin Li, Yanwen Jia, and Jianan Jiang
- Subjects
Biometrics ,Computer science ,Speech recognition ,Feature extraction ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,020206 networking & telecommunications ,02 engineering and technology ,Field (computer science) ,Data modeling ,Identification (information) ,ComputingMethodologies_PATTERNRECOGNITION ,Gait (human) ,0202 electrical engineering, electronic engineering, information engineering ,Feature (machine learning) ,020201 artificial intelligence & image processing ,Focus (optics) ,ComputingMethodologies_COMPUTERGRAPHICS - Abstract
Gait recognition gradually becomes a research focus in the field of identification. Gait is a unique biometric feature and it can be measured unobtrusively in a long distance. In this paper, we study and analyze current techniques of feature extraction. The algorithms of gait recognition are also discussed. After highlighting these issues, there is a discussion about the multi-feature fusion that combines gait with other biometrics. And then several publically datasets of gait are introduced summarily. Finally the challenges and prospect future directions of gait recognition are outlined in this paper.
- Published
- 2016