GPU accelerated pedestrian detector using a Pyramidal-Sliding Window approach with HOGLBP as feature descriptor and SVM as the classifier
Software developed by Víctor Campmany (vcampmany@cvc.uab.es) Computer Vision Center and Computer Architecture Department, Universitat Autonoma de Barcelona
Add your own library paths to the Makefile (instruction in the Makefile)
cd into_repository_path
make all
./bin/visionSys
Edit the parameters.ini file in order to modify the parameters as desired
- OpenCV >= 2.4
- CUDA toolkit
- NVIDIA GPU >= Kepler 3.0
GPU-based Pedestrian Detection for Autonomous Driving. V. Campmany, S. Silva, A. Espinosa, JC. Moure, D. Vazquez, A. Lopez. ICCS 2016, Procedia Computer Science 80, 2377-2381