PT Unknown
AU Victor Campmany
   Sergio Silva
   Juan Carlos Moure
   Toni Espinosa
   David Vazquez
   Antonio Lopez
TI GPU-based pedestrian detection for autonomous driving
BT GPU Technology Conference
PY 2016
DE Pedestrian Detection; GPU
AB Pedestrian detection for autonomous driving is one of the hardest tasks within computer vision, and involves huge computational costs. Obtaining acceptable real-time performance, measured in frames per second (fps), for the most advanced algorithms is nowadays a hard challenge. Taking the work in [1] as our baseline, we propose a CUDA implementation of a pedestrian detection system that includes LBP and HOG as feature descriptors and SVM and Random forest as classifiers. We introduce significant algorithmic adjustments and optimizations to adapt the problem to the NVIDIA GPU architecture. The aim is to deploy a real-time system providing reliable results.
ER