학술논문
Pedestrian Detection for UAVs Using Cascade Classifiers with Meanshift
Document Type
Conference
Author
Source
2017 IEEE 11th International Conference on Semantic Computing (ICSC) ICSC Semantic Computing (ICSC), 2017 IEEE 11th International Conference on. :509-514 2017
Subject
Language
Abstract
In this paper, we propose an algorithm for pedestrian detection focusing on UAV applications. Our proposal is based on a combination of Haar-LBP features with Adaboost for the training process, and Meanshift for improving the performance of the pedestrian detector. We mount a dataset with images captured from surveillance cameras. Our dataset and algorithm are evaluated and compared with other approaches from the literature.