Machine learning methods have achieved good performance and been widely applied in
various real-world applications. They can learn the model adaptively and be better fit for …

Person reidentification (re-id), as an important task in video surveillance and forensics
applications, has been widely studied. Previous research efforts toward solving the person …

Distance metric learning (DML) has achieved great success in many computer vision tasks.
However, most existing DML algorithms are based on point estimation, and thus are …

Distance metric learning (DML), which learns a distance metric from labeled" similar" and"
dissimilar" data pairs, is widely utilized. Recently, several works investigate orthogonality …

In the context of cross-modal person re-identification, researchers often employ methods that
utilize visible modality information to generate both an 'X'modality and a grayscale modality …

Person re-identification is an important technique towards automatic recognition of a person
across non-overlapping cameras. In this paper, a novel patch selection method based on …

针对行人再识别中由于外观差异不显著导致特征描述不准确的问题, 该文提出一种基于双向参考
集矩阵度量学习(BRM2L) 的行人再识别算法. 首先通过互近邻算法获得每个摄像头下的互近邻 …

To solve the problem of inaccurate feature representation caused by indistinctive
appearance difference in person re-identification domain, a new Matrix Metric Learning …

跨摄像机行人因光照, 视角, 姿态的差异, 会使其外观变化显著, 给行人再识别的研究带来严峻
挑战. 基于多特征融合和距离度量学习技术, 提出辨识特征后融合的算法, 并将其应用于行人再 …

Person re-identification is an important technique to search a probe person against a set of
gallery persons and metric learning methods have shown their effectiveness in matching …