New Efficient Speed-Up Scheme For Cascade Implementation Of Svm Classifier
2015 International Joint Conference on Neural Networks (IJCNN)(2015)
摘要
For intelligent vehicle applications, detecting pedestrian technique must be robust and perform in real time. In pedestrian detection, support vector machine (SVM) is one of the popular classifiers because of its robust performance. In this paper, we propose the new method to implement cascade SVM that enables fast rejection of negative samples. The proposed method is tested with INRIA person dataset and show better rejection performance of negative samples than conventional method.
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关键词
Suppor vector machine,pedestrian detection,HOG,cascade classifier
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