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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 403))

Abstract

This paper presents method of image conversion into point image representation. Conversion is carried out with the use of small image gradients. Layout of binary values of point image representation is in accordance with the edges of objects comprised in the source image. Vehicles are detected through analysis of the detection field state. The state of the detection field is determined on the basis of the sum of the edge points within the detection field. The proposed method of vehicle detection is fast and simple computationally. Vehicle detection with the use of image conversion into point image representation is efficient and can by used in real-time processing. Experimental results are provided.

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Correspondence to Zbigniew Czapla .

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Czapla, Z. (2016). Point Image Representation for Efficient Detection of Vehicles. In: Burduk, R., Jackowski, K., Kurzyński, M., Woźniak, M., Żołnierek, A. (eds) Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015. Advances in Intelligent Systems and Computing, vol 403. Springer, Cham. https://doi.org/10.1007/978-3-319-26227-7_65

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  • DOI: https://doi.org/10.1007/978-3-319-26227-7_65

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26225-3

  • Online ISBN: 978-3-319-26227-7

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