<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper mainly studies the background difference method in the field of intelligent traffic, proposes a background modeling method base on frame difference, and compares it with the statistical average background model and Gaussian distribution background modeling method. vehicle contour obtained by the morphological method. Finally, experiments were carried out on 4 normal road traffic surveillance videos, the effective detection rate used in this paper reaches 93.75%, which has a certain degree of application. The algorithm model need to be further tested in more complex weather and different road conditions.</p>
</abstract>

This paper mainly studies the background difference method in the field of intelligent traffic, proposes a background modeling method base on frame difference, and compares it with the statistical average background model and Gaussian distribution background modeling method. vehicle contour obtained by the morphological method. Finally, experiments were carried out on 4 normal road traffic surveillance videos, the effective detection rate used in this paper reaches 93.75%, which has a certain degree of application. The algorithm model need to be further tested in more complex weather and different road conditions.

Research on Vehicle Detection Method Based on Background Modeling

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Research on Vehicle Detection Method Based on Background Modeling"}

This paper mainly studies the background difference method in the field of intelligent traffic, proposes a background modeling method base on frame difference,...

Research on Vehicle Detection Method Based on Background Modeling

Online veröffentlicht: 07. Mai 2018

Seitenbereich: 6 - 9

DOI: https://doi.org/10.21307/ijanmc-2018-047

Schlüsselwörter
Vehicle Detection, Background Modeling, Inter-frame Difference, Morphological Method

© 2018 Zhichao Lian et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

TABLE I.

Research on Vehicle Detection Method Based on Background Modeling

Online veröffentlicht: 07. Mai 2018

Seitenbereich: 6 - 9

DOI: https://doi.org/10.21307/ijanmc-2018-047

SchlüsselwörterVehicle Detection, Background Modeling, Inter-frame Difference, Morphological Method

© 2018 Zhichao Lian et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

TABLE I.

Schlüsselwörter
Vehicle Detection, Background Modeling, Inter-frame Difference, Morphological Method