@inproceedings{dc1c293d22ec487ca44e1a85f209ac4c,
title = "A fast method for detecting moving vehicles using plane constraint of geometric invariance",
abstract = "This paper presents a new method of detecting on-road highway vehicles for active safety vehicle system.* We combine a projective invariant technique with motion information to detect overtaking road vehicles. The vehicles are assumed into a set of planes and the invariant technique extracts the plane from the theory that a geometric invariant value defined by five points on a plane is preserved under a projective transform. Harris corners as a salient image point are used to give motion information with the normalized cross correlation centered at these points. A probabilistic criterion without demand of a heuristic factor is defined to test the similarity of invariant values between sequential frames. Because the method is very fast, real-time processing is possible for vehicle detection. Experimental results using images of real road scenes are presented.",
keywords = "Active safety vehicle, Geometric invariant, Motion, Plane constraint, Vehicle detection",
author = "Kang, \{Dong Joong\} and Ha, \{Jong Eun\} and Lho, \{Tae Jung\}",
year = "2006",
doi = "10.1007/11751595\_122",
language = "English",
isbn = "3540340750",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "1163--1171",
booktitle = "Computational Science and Its Applications - ICCSA 2006",
note = "ICCSA 2006: International Conference on Computational Science and Its Applications ; Conference date: 08-05-2006 Through 11-05-2006",
}