Low-rank structured sparse representation and reduced dictionary learning-based abnormity detection.
IET Computer Vision(2019)
摘要
A novel abnormity detection method is presented which combines the low-rank structured sparse representation and reduced dictionary learning. The multi-scale three-dimensional gradient is used as low-level feature by encoding the spatiotemporal information. A group of reduced sparse dictionaries is learnt by low-rank approximation based on the structured sparsity property of the video sequence. Th...
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关键词
video signal processing,image sequences,image representation,object detection,learning (artificial intelligence),computational complexity,approximation theory,video coding
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