Matching vehicles using hubert scanning distance

Tian Li, Sei Ichiro Kamata, Kazuyuki Tsuneyoshi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Matching objects is a fundamental problem for any object detection system. Feature-based methods in matching objects such as vehicles often encounter the problem of correspondences between features of two related patterns. The features may be points, lines, curves and regions. Point pattern matching (PPM) is a primary and essential approach for establishing a correspondence within two related patterns. Although some well-known Hausdorff distance measures work well for this task, they are very computational expensive and suffer from the noise of images. In this paper, we propose a novel similarity measure using Hilbert curve named Hilbert scanning distance (HSD) to resolve the problems. This method computes the distance measure in one-dimensional (1-D) sequence in stead of in two-dimensional (2-D) image space, which greatly reduce the computational complexity. By applying a threshold elimination function, extreme distances caused by noise and position errors (e.g. those that occur with feature or edge extraction) are removed. The experimental results show that HSD can provide sufficient information for matching -vehicles within low computational complexity. We believe this point out a new direction for the research of PPM.

Original languageEnglish
Title of host publication2005 IEEE International Conference on Vehicular Electronics and Safety Proceedings
Pages149-154
Number of pages6
DOIs
Publication statusPublished - 2005 Dec 1
Event2005 IEEE International Conference on Vehicular Electronics and Safety - Xi'an, Shaan'xi, China
Duration: 2005 Oct 142005 Oct 16

Publication series

Name2005 IEEE International Conference on Vehicular Electronics and Safety Proceedings
Volume2005

Conference

Conference2005 IEEE International Conference on Vehicular Electronics and Safety
CountryChina
CityXi'an, Shaan'xi
Period05/10/1405/10/16

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Matching vehicles using hubert scanning distance'. Together they form a unique fingerprint.

  • Cite this

    Li, T., Kamata, S. I., & Tsuneyoshi, K. (2005). Matching vehicles using hubert scanning distance. In 2005 IEEE International Conference on Vehicular Electronics and Safety Proceedings (pp. 149-154). [1563632] (2005 IEEE International Conference on Vehicular Electronics and Safety Proceedings; Vol. 2005). https://doi.org/10.1109/ICVES.2005.1563632