Part alignment network for vehicle re-identification

doi:10.1016/j.neucom.2020.08.016

	Part alignment network for vehicle re-identification
	Chen, Yucheng 1,2; Ma, Bingpeng 2; Chang, Hong 1,2
	2020-12-22
发表期刊	NEUROCOMPUTING
ISSN	0925-2312
卷号	418 页码:114-125
摘要	Vehicle re-identification (re-ID) has numerous applications in real life, such as video surveillance, information retrieval, and public security. However, it suffers from the misalignment of vehicles, which is a critical problem caused by inaccurate detection and different views. This paper proposes a novel network named Part Alignment Network (PAN) which can properly handle the misalignment of vehicles. It is therefore adapted to the vehicle re-ID task, avoiding the use of any additional pre-processing steps such as the annotation of vehicle key points and part segmentation by hand. In PAN, cross-correlation is adopted to the alignment of vehicle parts. Then, an effective network architecture is designed to extract the discriminative aligned features. By combining complementary aligned features and original features, more robust feature representations are learned. To show the effectiveness of PAN, this paper conducts experiments on three vehicle re-ID databases (VD1, VD2, and VehicleID), on which it improves the current state-of-the-art performance. (c) 2020 Elsevier B.V. All rights reserved.
关键词	Vehicle re-identification Part alignment Cross-correlation
DOI	10.1016/j.neucom.2020.08.016
收录类别	SCI
语种	英语
资助项目	Natural Science Foundation of China (NSFC)[61876171] ; Natural Science Foundation of China (NSFC)[61976203] ; Beijing Municipal Science and Technology Program[Z181100003918012] ; Fundamental Research Funds for the Central Universities
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000589911100010
出版者	ELSEVIER
引用统计	被引频次：7[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/16120
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Ma, Bingpeng
作者单位	1.Chinese Acad Sci, Key Lab Intelligent Informat Proc, Inst Comp Technol, CAS, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Chen, Yucheng,Ma, Bingpeng,Chang, Hong. Part alignment network for vehicle re-identification[J]. NEUROCOMPUTING,2020,418:114-125.
APA	Chen, Yucheng,Ma, Bingpeng,&Chang, Hong.(2020).Part alignment network for vehicle re-identification.NEUROCOMPUTING,418,114-125.
MLA	Chen, Yucheng,et al."Part alignment network for vehicle re-identification".NEUROCOMPUTING 418(2020):114-125.