1 June 2018 Image-based approach for detecting vehicles in user-defined virtual inductive loops
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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.
© 2018 SPIE and IS&T
Vitor Gomes, Pablo Barcellos, 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 Submission: Received 29 January 2018; Accepted 17 May 2018
Submission: Received 29 January 2018; Accepted 17 May 2018
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