Background subtraction for vehicle detection
作者： Arun Varghese , G. Sreelekha
DOI: 10.1109/GCCT.2015.7342688
关键词:
摘要: We propose a background subtraction method for segmenting vehicles from in video sequence. Our can be considered as hybrid of two existing methods. The is modelled per-pixel with collection pixel values. foreground/background decision based on whether the current value finds match samples model. matching model are adapted towards learning parameter. Evaluation tests public CDnet dataset shows good results highway scenario.
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