A review of gait recognition based on vision
- Resource Type
- Authors
- Baifeng Lin; Mengxin Li; Yanwen Jia; Jianan Jiang
- Source
- 2016 5th International Conference on Computer Science and Network Technology (ICCSNT).
- Subject
- 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
- Language
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.