A Framework for Online Segmentation and Classification of Modeled Actions Performed in the Context of Unmodeled Ones.
Dimitrios KosmopoulosKonstantinos E. PapoutsakisAntonis A. ArgyrosPublished in: IEEE Trans. Circuits Syst. Video Technol. (2017)
Keyphrases
- online learning
- feature vectors
- real time
- conceptual framework
- image segmentation
- classification algorithm
- classification accuracy
- neural network
- machine learning
- classification scheme
- contextual information
- pattern recognition
- image classification
- video classification
- features extraction
- classification method
- image analysis
- computer vision
- feature selection
- video sequences
- feature extraction
- statistical classification
- fully unsupervised
- pixel classification
- image processing
- context dependent
- object segmentation
- decision trees
- support vector machine
- multiscale
- segmentation method
- support vector machine svm
- context aware
- support vector
- level set
- supervised learning