Image-based approach for detecting vehicles in user-defined virtual inductive loops

Vitor Gomes; Pablo Barcellos; Jacob Scharcanski

doi:10.1117/1.JEI.27.3.033026

1 June 2018 Image-based approach for detecting vehicles in user-defined virtual inductive loops

Vitor Gomes, Pablo Barcellos, Jacob Scharcanski

Author Affiliations +

Journal of Electronic Imaging, Vol. 27, Issue 3, 033026 (June 2018). https://doi.org/10.1117/1.JEI.27.3.033026

Abstract

A camera-based scheme is proposed for detecting vehicles at user-defined virtual loops, simulating the operation of inductive loops. False vehicular detections are minimized by a combination of efficient edge detection and color information. The experimental results suggest that the proposed scheme potentially can detect and count vehicles at user-defined virtual loops accurately (with more than 98% correct detection rate, in average), besides being more robust to cast shadows and sudden illumination changes than comparable methods that represent the state of the art.

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Vitor Gomes, Pablo Barcellos, and Jacob Scharcanski "Image-based approach for detecting vehicles in user-defined virtual inductive loops," Journal of Electronic Imaging 27(3), 033026 (1 June 2018). https://doi.org/10.1117/1.JEI.27.3.033026

Received: 29 January 2018; Accepted: 17 May 2018; Published: 1 June 2018

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