@inproceedings{94f8e3c003de42a48f0ab416e3d5e50b,
title = "Car-pose detection using randomized WLD",
abstract = "In both vehicle detection and vehicle tracking, the orientation of car will provide useful information to predict the trajectory. In this paper, we propose a method to determine the orientation of car in a still image. We train a set of Randomized Weber Local Descriptor (RWLD) based classifiers to overcome this problem. To make the system robust and fast, we also propose a tree structure to organize the classifiers to a pose estimator. We evaluate our method on a database consisting of more than 2000 vehicle images. The experimental results show that our method is effective. This pose estimator can be used for a variety of applications conveniently.",
keywords = "WLD, car-pose detection, pose estimation",
author = "Lei Lei and Yi Hu and Kim, {Dae Hwan} and Ko, {Sung Jea}",
year = "2011",
doi = "10.1109/CISP.2011.6100460",
language = "English",
isbn = "9781424493067",
series = "Proceedings - 4th International Congress on Image and Signal Processing, CISP 2011",
pages = "1499--1502",
booktitle = "Proceedings - 4th International Congress on Image and Signal Processing, CISP 2011",
note = "4th International Congress on Image and Signal Processing, CISP 2011 ; Conference date: 15-10-2011 Through 17-10-2011",
}