Background subtraction is an example of a moving object detection technique that uses machine vision systems. Conventional moving object detection methods need complicated thresholds for background modeling to address changes in illumination. This paper proposes a novel background modeling approach without thresholding based on a bit-planes method, which fully utilizes color characteristics through spatial and temporal-based improvement. The proposed idea is effective and efficiently solving for shadow disturbance and brightness changes. We evaluate our proposed method using several challenging indoor and outdoor sequences from the CDNET 2014 dataset. The experiments show that the proposed idea typically achieves a higher rate of detection accuracy than those of the current state-of-the-art approaches.
Moving Object Detection Through Image Bit-Planes Representation Without Thresholding
IEEE Transactions on Intelligent Transportation Systems ; 21 , 4 ; 1404-1414
2020-04-01
4376398 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Median-based image thresholding
British Library Online Contents | 2011
|Multiresolution Image Dynamic Thresholding
British Library Conference Proceedings | 1988
|Europäisches Patentamt | 2018
|Thresholding for Change Detection
British Library Online Contents | 2002
|Multilevel thresholding for image segmentation through Bayesian particle swarm optimization
Kraftfahrwesen | 2012
|