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	Deep Relative Distance Learning: Tell the Difference Between Similar Vehicles
	Liu, Hongye ; Tian, Yonghong ; Wang, Yaowei ; Pang, Lu ; Huang, Tiejun
	2016
关键词	REIDENTIFICATION
英文摘要	The growing explosion in the use of surveillance cameras in public security highlights the importance of vehicle search from a large-scale image or video database. However, compared with person re-identification or face recognition, vehicle search problem has long been neglected by researchers in vision community. This paper focuses on an interesting but challenging problem, vehicle re-identification (a.k.a precise vehicle search). We propose a Deep Relative Distance Learning (DRDL) method which exploits a two-branch deep convolutional network to project raw vehicle images into an Euclidean space where distance can be directly used to measure the similarity of arbitrary two vehicles. To further facilitate the future research on this problem, we also present a carefully-organized large-scale image database "VehicleID", which includes multiple images of the same vehicle captured by different real-world cameras in a city. We evaluate our DRDL method on our VehicleID dataset and another recently-released vehicle model classification dataset "CompCars" in three sets of experiments: vehicle re-identification, vehicle model verification and vehicle retrieval. Experimental results show that our method can achieve promising results and outperforms several state-of-the-art approaches.; National Basic Research Program of China [2015CB351806]; National Natural Science Foundation of China [61425025, 61390515, 61471042, 61421062]; National Key Technology Research and Development Program [2014BAK10B02]; Shenzhen Peacock Plan; CPCI-S(ISTP); 2167-2175
语种	英语
出处	29th IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
DOI标识	10.1109/CVPR.2016.238
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/470251]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Liu, Hongye,Tian, Yonghong,Wang, Yaowei,et al. Deep Relative Distance Learning: Tell the Difference Between Similar Vehicles. 2016-01-01.

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