Spatio-temporal inductance-pattern recognition for vehicle re-identification

✍ Scribed by Baher Abdulhai; Seyed M. Tabib

• Book ID: 104368841
• Publisher: Elsevier Science
• Year: 2003
• Tongue: English
• Weight: 282 KB
• Volume: 11
• Category: Article
• ISSN: 0968-090X
• DOI: 10.1016/s0968-090x(03)00024-x

✦ Synopsis

Very recent research efforts started investigating the possibilities of more ÔintelligentÕ usage of Inductive Loop Detectors (ILD), to possibly derive Ôwide-areaÕ/Ôsection-relatedÕ measures from their outputs, as opposed to the limited conventional point measurements. This research attempts to improve the accuracy of vehicle re-identification at successive loop detector stations through improving the distance measures for pattern nearness in the pattern matching process. Vehicle inductance-signature data, collected by a California team of researchers, were further analysed at the University of Toronto. Several new techniques including neural networks, new distance measures and waveform warping-reduction processes were investigated to match the vehicle signature waveforms showing potential for significant accuracy improvement compared to features reported in the literature.