Shadow detection is critical for robust and reliable vision-based systems for traffic flow analysis. In this paper we discuss various shadow detection approaches and compare two critically. The goal of these algorithms is toprevent moving shadows being misclassified as moving objects (or parts of them), thus avoiding the merging of twoor more objects into one and improving the accuracy of object localization. The environment considered is an outdoorhighway scene with multiple lanes observed by a single fixedcamera. The important features of shadow detection algorithms and the parameter set-up are analyzed and discussed. A critical evaluation of the results both in terms of accuracy and in terms of computational complexity are outlined. Finally, possible integration of the two approaches into a robust shadow detector is presented as future direction of our research.

Shadow detection algorithms for traffic flow analysis: a comparative study / A., Prati; I., Mikic; Grana, Costantino; M. M., Trivedi. - STAMPA. - (2001), pp. 340-345. (Intervento presentato al convegno 2001 IEEE Intelligent Transportation Systems Proceedings tenutosi a Oakland, CA, USA nel Aug 25-29) [10.1109/ITSC.2001.948680].

Shadow detection algorithms for traffic flow analysis: a comparative study

GRANA, Costantino;
2001

Abstract

Shadow detection is critical for robust and reliable vision-based systems for traffic flow analysis. In this paper we discuss various shadow detection approaches and compare two critically. The goal of these algorithms is toprevent moving shadows being misclassified as moving objects (or parts of them), thus avoiding the merging of twoor more objects into one and improving the accuracy of object localization. The environment considered is an outdoorhighway scene with multiple lanes observed by a single fixedcamera. The important features of shadow detection algorithms and the parameter set-up are analyzed and discussed. A critical evaluation of the results both in terms of accuracy and in terms of computational complexity are outlined. Finally, possible integration of the two approaches into a robust shadow detector is presented as future direction of our research.
2001
2001 IEEE Intelligent Transportation Systems Proceedings
Oakland, CA, USA
Aug 25-29
340
345
A., Prati; I., Mikic; Grana, Costantino; M. M., Trivedi
Shadow detection algorithms for traffic flow analysis: a comparative study / A., Prati; I., Mikic; Grana, Costantino; M. M., Trivedi. - STAMPA. - (2001), pp. 340-345. (Intervento presentato al convegno 2001 IEEE Intelligent Transportation Systems Proceedings tenutosi a Oakland, CA, USA nel Aug 25-29) [10.1109/ITSC.2001.948680].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/466412
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