@inproceedings{4220d9c3209a4544814d6ec5b6c4a28b,
title = "Depth calculation and object detection using stereo vision with subpixel disparity and HOG feature",
abstract = "Object detection using image processing mainly includes single-camera based detection and stereo vision based detection. Stereo vision-based object detection approaches need to find correspondences from the left to the right image. In this paper, we proposed to detect the region of interest (ROI) of objects like cars, people, bikes using HOG descriptors and make correspondence matching only in ROI. Moreover, we used 3D reprojection method to calculate the depth and employed the subpixel disparity technology to increase the depth range resolution. By the proposed approach, the corresponding is only needed to be done for special features in the special region which improves the accuracy.",
keywords = "Stereo vision, depth calculation, subpixel disparity",
author = "Weilong Song and Guangming Xiong and Linlang Cao and Yanhua Jiang",
year = "2011",
doi = "10.1007/978-3-642-22418-8\_69",
language = "English",
isbn = "9783642224171",
series = "Communications in Computer and Information Science",
number = "PART 1",
pages = "489--494",
booktitle = "Advances in Information Technology and Education - International Conference, CSE 2011, Proceedings",
edition = "PART 1",
note = "2011 International Conference on Computer Science and Education, CSE 2011 ; Conference date: 09-07-2011 Through 10-07-2011",
}