<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Vehicle detection is an important step in vehicle tracking and recognition in video environment. Vibe algorithm is a moving target detection algorithm based on background difference method. Based on the traditional ViBe algorithm, this paper introduces three-frame difference method combined with ViBe algorithm to speed up the elimination of ghosts, and proposes an adaptive Vibe algorithm, which defines two kinds of vehicle detection errors and their corresponding error functions. Then, according to the range of these two errors, a set of reasonable judgment methods are determined to adjust the unreasonable threshold, which ensures the adaptive updating of the background model. It improves the environmental adaptability of vehicle detection and ensures higher accuracy of vehicle detection under complex illumination conditions.</p></abstract>

Vehicle detection is an important step in vehicle tracking and recognition in video environment. Vibe algorithm is a moving target detection algorithm based on background difference method. Based on the traditional ViBe algorithm, this paper introduces three-frame difference method combined with ViBe algorithm to speed up the elimination of ghosts, and proposes an adaptive Vibe algorithm, which defines two kinds of vehicle detection errors and their corresponding error functions. Then, according to the range of these two errors, a set of reasonable judgment methods are determined to adjust the unreasonable threshold, which ensures the adaptive updating of the background model. It improves the environmental adaptability of vehicle detection and ensures higher accuracy of vehicle detection under complex illumination conditions.

Research on Improved Adaptive ViBe Algorithm For Vehicle Detection

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 Improved Adaptive ViBe Algorithm For Vehicle Detection"}

Vehicle detection is an important step in vehicle tracking and recognition in video environment. Vibe algorithm is a moving target detection algorithm based on...

	GMM	Three frame difference	Original vibe	Improved ViBe
Recall	72.1%	70.0%	80.5%	87.1%
Precision	91.2%	83.1%	90.2%	92.3%
F1	80.1%	80.0%	85.1%	90.0%

Research on Improved Adaptive ViBe Algorithm For Vehicle Detection

Article Category: article

Online veröffentlicht: 27. Jan. 2020

Seitenbereich: 11 - 17

DOI: https://doi.org/10.21307/ijanmc-2019-065

Schlüsselwörter
Vehicle Detection, Background Difference Method, Vibe Algorithm, Three-Frame Difference Algorithm

© 2019 Kun Jiang et al., published by Sciendo

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

Figure 1.

Figure 2.

Figure 3.

Figure 4.

EVALUATION RESULTS OF VEHICLE INSPECTION

Research on Improved Adaptive ViBe Algorithm For Vehicle Detection

Article Category: article

Online veröffentlicht: 27. Jan. 2020

Seitenbereich: 11 - 17

DOI: https://doi.org/10.21307/ijanmc-2019-065

SchlüsselwörterVehicle Detection, Background Difference Method, Vibe Algorithm, Three-Frame Difference Algorithm

© 2019 Kun Jiang et al., published by Sciendo

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

Figure 1.

Figure 2.

Figure 3.

Figure 4.

EVALUATION RESULTS OF VEHICLE INSPECTION

Schlüsselwörter
Vehicle Detection, Background Difference Method, Vibe Algorithm, Three-Frame Difference Algorithm