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Part alignment network for vehicle re-identification

文献类型：期刊论文

作者Chen, Yucheng1,2; Ma, Bingpeng2; Chang, Hong1,2
刊名NEUROCOMPUTING
出版日期2020-12-22
卷号418页码:114-125
关键词Vehicle re-identification Part alignment Cross-correlation
ISSN号0925-2312
DOI10.1016/j.neucom.2020.08.016
英文摘要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.
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
语种英语
WOS记录号WOS:000589911100010
出版者ELSEVIER
源URL[http://119.78.100.204/handle/2XEOYT63/16119]  
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.

入库方式： OAI收割

来源：计算技术研究所

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