CDoTS: Change detection on time series background for video foreground segmentation

Wangsiripitak, Somkiat; Rattanapitak, Wirat

doi:10.1109/ecticon.2017.8096258

2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technolo 2017

DOI: 10.1109/ecticon.2017.8096258

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CDoTS: Change detection on time series background for video foreground segmentation

Somkiat Wangsiripitak

Wirat Rattanapitak

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2020

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An Effective Subsuperpixel-Based Approach for Background Subtraction

Chen

Sun

Lam

2020

IEEE Trans. Ind. Electron.

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How to achieve competitive accuracy and less computation time simultaneously for background estimation is still an intractable task. In this paper, an effective background subtraction approach for video sequences is proposed based on a sub-superpixel model. In our algorithm, the superpixels of the first frame are constructed using a simple linear iterative clustering method. After transforming the frame from a colour format to gray level, the initial superpixels are divided into K smaller units, i.e. sub-superpixels, via the k -means clustering algorithm. The background model is then initialized by representing each sub-superpixel as a multidimensional feature vector. For the subsequent frames, moving objects are detected by the sub-superpixel representation and a weighting measure. In order to deal with ghost artifacts, a background model updating strategy is devised, based on the number of pixels represented by each cluster center. As each superpixel is refined via the sub-superpixel representation, the proposed method is more efficient and achieves a competitive accuracy for background subtraction. Experimental results demonstrate the effectiveness of the proposed method.

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An Effective Subsuperpixel-Based Approach for Background Subtraction

Chen

Sun

Lam

2020

IEEE Trans. Ind. Electron.

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show abstract

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CDoTS: Change detection on time series background for video foreground segmentation

Cited by 1 publication

References 13 publications

An Effective Subsuperpixel-Based Approach for Background Subtraction

An Effective Subsuperpixel-Based Approach for Background Subtraction

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