Unsupervised learning of discriminative edge measures for vehicle matching between non-overlapping cameras

• Published in: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) Vol. 1; pp. 894 - 901 vol. 1
• Main Authors: Ying Shan, Sawhney, H.S., Kumar, R.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2005
• Subjects: Cameras; Distributed computing; Filters; Geometrical optics; Lighting; Performance analysis; Performance evaluation; Road vehicles; Robustness; Unsupervised learning

This paper proposes a method for matching road vehicles between two non-overlapping cameras. The matching problem is formulated as a same-different classification problem: probability of two observations from two distinct cameras being from the same vehicle or from different vehicles. We employ a me...