Pedestrian Detection by Boosting Soft-Margin SVM with Local Feature Selection.
Kenji NishidaTakio KuritaPublished in: MVA (2005)
Keyphrases
- soft margin
- pedestrian detection
- support vector
- feature selection
- support vector machine
- human body
- object detection
- generalization ability
- multi class
- boosting algorithms
- support vectors
- support vector machine svm
- detection rate
- svm classifier
- parameter selection
- kernel function
- knn
- cross validation
- text categorization
- benchmark datasets
- classification accuracy
- hyperplane
- feature space
- svm classification
- text classification
- feature set
- ls svm
- histogram intersection kernel
- training examples
- model selection
- ensemble methods
- generalization error
- binary classification
- naive bayes
- decision boundary
- training data
- three dimensional
- computer vision
- learning algorithm
- machine learning