Research on pedestrian detection technology based on the SVM classifier trained by HOG and LTP features.
Hongzhi ZhouGan YuPublished in: Future Gener. Comput. Syst. (2021)
Keyphrases
- svm classifier
- pedestrian detection
- adaboost classifier
- human body
- histograms of oriented gradients
- support vector machine
- support vector machine svm
- support vector
- human detection
- object detection
- feature vectors
- image classification
- benchmark datasets
- selected features
- training set
- detection rate
- informative features
- support vector machine classifier
- svm classification
- feature subset
- semi supervised
- pattern recognition
- action recognition
- kernel function
- classification accuracy
- computer vision
- false positives
- neural network
- support vectors
- weak classifiers
- feature set
- feature extraction
- feature selection
- learning algorithm
- machine learning