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This paper presents an algorithm based on the ideas of bag of words and sparse representation for action recognition. We assume that all action instances form an action space and all action instances from one action class form a subspace of it. Furthermore, the action space can be represented by an over complete basis and each action instance can be represented by a linear combination of the basis...
For speedy robust object recognition, our model builds on Serre’s standard model and modifies it by additional biological characteristics, such as introducing the manner of neuron firing, feature localization, and merging unit features in the higher layers. According to the four-layer architecture of standard model, we first apply Gabor filters on a higher intermediate frequency band of original image,...
This paper proposes a real-time moving objects detecting algorithm based on computer vision. Contour feature is firstly extracted from the initial frame as the feature to describe object, and then the moving object in the latter frame could be tracked and located by marking the location of this feature, at the same time, the feature is dynamically adaptively updated and optimized online. The slight...
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