A novel improved ViBe algorithm to accelerate the ghost suppression

Keyang Cheng, Kaifa Hui, Yongzhao Zhan, M. Qi
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引用次数: 1

Abstract

This paper presents a new improved ViBe algorithm approach to accelerate the ghost suppression, which is a robust and efficient background subtraction algorithm for video sequences. The ViBe has the advantages of faster processing speed and lighter computation load compared with other algorithms. For the sake of the real-time performance of the background modeling, it only uses the first frame to build the background model during the process of initialization. However, it will result in introducing ghost area in the subtraction progression, which has an impact on the performance of the background modeling. We put forward a novel method to accelerate the elimination of the ghost area by detecting and reinitializing the region of the ghost area. Our enhanced algorithm is compared with other improved algorithms with the same aim to suppress the generation of the ghost by conducting a series of contrast experiments. The comparison figures show that our method has better performance in ghost suppression. The PCC is used as a metric to evaluate our algorithm performance. The experiment results show that the PCC of our algorithm has improved after the second frame distinctly in contrast to the original algorithm as well as the improved algorithms mentioned in this paper. Besides, the time for processing per frame can still meet the demand of real-time performance.
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一种新的改进的ViBe算法来加速对鬼影的抑制
本文提出了一种新的改进的ViBe算法来加速对鬼影的抑制,这是一种鲁棒高效的视频序列背景减除算法。与其他算法相比,ViBe具有更快的处理速度和更轻的计算负荷等优点。为了保证背景建模的实时性,在初始化过程中只使用第一帧来构建背景模型。然而,它会导致在减法过程中引入鬼影区域,从而影响背景建模的性能。提出了一种通过检测和重新初始化鬼区区域来加速鬼区消除的新方法。通过一系列的对比实验,将我们的增强算法与其他具有相同目标的改进算法进行了比较,以抑制鬼影的产生。对比结果表明,该方法具有较好的虚影抑制性能。PCC被用作评估算法性能的指标。实验结果表明,与原算法和本文提出的改进算法相比,本算法在第二帧后的PCC有了明显的提高。此外,每帧的处理时间仍然可以满足实时性的要求。
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