Gradient Boundary Histograms for Action Recognition
Applications of Computer Vision(2015)
摘要
This paper introduces a high efficient local spatiotemporal descriptor, called gradient boundary histograms (GBH). The proposed GBH descriptor is built on simple spatio-temporal gradients, which are fast to compute. We demonstrate that it can better represent local structure and motion than other gradient-based descriptors, and significantly outperforms them on large realistic datasets. A comprehensive evaluation shows that the recognition accuracy is preserved while the spatial resolution is greatly reduced, which yields both high efficiency and low memory usage.
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关键词
spatio temporal gradients,gbh,gradient boundary histograms,local spatiotemporal descriptor,gradient methods,action recognition,comprehensive evaluation,image motion analysis,spatial resolution,accuracy,encoding,histograms,vectors
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