Pedestrian Detection for UAVs Using Cascade Classifiers with Meanshift

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.

Año de publicación:

2017

Keywords:

• Cascade classifiers
• HOG
• HAAR
• LBP
• MeanShift
• People Detection

Fuente:

scopus

google