@inproceedings{ff23987a80b44292b68e85badf7b314b,
title = "Object Detection Based on Sparse Representation of Foreground",
abstract = "Objects detection can be regard as the segmentation of foreground from background. In this paper, we propose a foreground segmentation method based on sparse representation of direction features for threat object detection in X-ray images. The threat objects are supposed as foreground and all other contents in the images are background. We extract the direction features to make up foreground dictionary firstly. Then we search the foreground area in the test image through sparse representation of their direction features by foreground dictionary. The experimental results show that this proposed method is robust to the X-ray images with different backgrounds.",
keywords = "Object detection, Sparse representation, X-ray image",
author = "Zhenyue Zhu and Shujing Lyu and Xiao Tu and Yue Lu",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 2nd International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2020 ; Conference date: 19-10-2020 Through 23-10-2020",
year = "2020",
doi = "10.1007/978-3-030-59830-3\_40",
language = "英语",
isbn = "9783030598297",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "465--473",
editor = "Yue Lu and Nicole Vincent and Yuen, \{Pong Chi\} and Wei-Shi Zheng and Farida Cheriet and Suen, \{Ching Y.\}",
booktitle = "Pattern Recognition and Artificial Intelligence - International Conference, ICPRAI 2020, Proceedings",
address = "德国",
}