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EnglishThis paper deals with the background maintenance problem and proposes a novel pixel-wise solution. The proposed backgroud maintenance algorithm is histogram-based. The algorithm has the following main features: fast background initialization, high accuracy in describing the real background and fast reaction to sudden changes. The basic idea of our algorithm is that the pixels are updated only if a statistic measure on the intensity variations of each pixels is greater to an adaptive threshold, thus reducing the I/O channel occupation. Experimental results on dynamic scenes taken from a fixed camera show that the proposed algorithm produces background images with an improved quality with respect to classical pixel-wise algorithms.
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| Titolo: | Effective and Efficient Moving Object Segmentation via an Innovative Statistical Approach |
| Autori: | |
| Data di pubblicazione: | 2015 |
| Abstract: | This paper deals with the background maintenance problem and proposes a novel pixel-wise solution. The proposed backgroud maintenance algorithm is histogram-based. The algorithm has the following main features: fast background initialization, high accuracy in describing the real background and fast reaction to sudden changes. The basic idea of our algorithm is that the pixels are updated only if a statistic measure on the intensity variations of each pixels is greater to an adaptive threshold, thus reducing the I/O channel occupation. Experimental results on dynamic scenes taken from a fixed camera show that the proposed algorithm produces background images with an improved quality with respect to classical pixel-wise algorithms. |
| Handle: | http://hdl.handle.net/20.500.11770/312904 |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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http://hdl.handle.net/20.500.11770/312904
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