Group-Sensitive Triplet Embedding for Vehicle Reidentification

• Published in: IEEE transactions on multimedia Vol. 20; no. 9; pp. 2385 - 2399
• Main Authors: Bai, Yan, Lou, Yihang, Gao, Feng, Wang, Shiqi, Wu, Yuwei, Duan, Ling-Yu
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.09.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Cameras; Embedding; Impact strength; intra-class variance; Learning; Licenses; Measurement; metric learning; retrieval; State of the art; Surveillance; Traffic surveillance; Urban areas; Vehicle re-identification; Visualization

The widespread use of surveillance cameras toward smart and safe cities poses the critical but challenging problem of vehicle reidentification (Re-ID). The state-of-the-art research work performed vehicle Re-ID relying on deep metric learning with a triplet network. However, most existing methods ba...