Analyzing human gait and posture by combining feature selection and kernel methods.
Albert SamàCecilio AnguloDiego E. PardoAndreu CatalàJoan CabestanyPublished in: Neurocomputing (2011)
Keyphrases
- kernel methods
- human gait
- feature selection
- human body
- support vector
- feature space
- support vector machine
- machine learning
- kernel function
- person identification
- kernel learning
- kernel matrix
- gait analysis
- multiple kernel learning
- feature extraction
- gait recognition
- classification accuracy
- human identification
- human motion
- body parts
- feature set
- computer vision
- motion capture
- three dimensional
- pose estimation
- unsupervised learning
- decision trees
- multi class
- similarity measure