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Abnormal event detection in crowded scenes using histogram of oriented contextual gradient descriptor

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Figure

Fig. 1 Visualization of maps of a horizontal gradient, vertical gradient, and temporal gradient as well as the gradient magnitude for pixel-wise,appearance context-wise, and motion-wise gradients
Fig. 2 Illustration of the processes for constructing a HOCG descriptor for an event. a A video clip (an event), (b) directions of contextualgradients of sub-regions, (c) quantizing descriptors of sub-regions, and (d) HOCG descriptor
Fig. 3 Illustration of the division of a video sequence. The sequence is divided into (a) a set of temporal clips for global AED and (b) a set ofspatio-temporal cuboids for local AED
Fig. 5 Quantitative comparison of the detection results in the Ped1 dataset using ROC curves for the (a) frame-level criterion and (b)pixel-level criterion
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