This is the ROI selection method used in the paper Detecting Humans in RGB-D Data with CNNs. It reduces the search space in an image and produces a set of square proposals. It was particularly designed for human upper body detection, but it can be modified to suit object detection as well.
- in command line run
git clone https://github.com/KaiyangZhou/ROI_Selection.git cdto the ROI_Selection directory and runmatlab(if you have installed)- run
build()to generate mex files - run
demo()to see what happens
img.mat contains a color image and an aligned depth image (unit in meters), which are obtained from RGBD people dataset.
Core functions are enclosed in functions/roi_selection.m. For detailed descriptions, please refer to our paper.
@inproceedings{kzhou2017humandetect,
title = {Detecting Humans in RGB-D Data with CNNs},
author = {Kaiyang Zhou and Adeline Paiement and Majid Mirmehdi},
year = {2017},
month = {2},
booktitle = {IAPR Conference on Machine Vision Applications (MVA2017)},
}