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Despite considering the distribution information of data, unsupervised discriminant projection (UDP) ignores the space structure information of data for high order tensor objects. To address these problems, many tensor methods are developed for charactering the space structure information. Albeit effective, these methods ignore the local manifold structure of the samples, and thus achieve sub-optimal...
This paper presents a novel but simple biometric image feature representation method, called exploring deep gradient information (DGI). DGI first captures the local structure of an image by computing the histogram of gradient orientation of each macro-pixel (local patch around the reference pixel). Thus, one image can be decomposed into L sub-images (sub-orientation images) according to the gradient...
In this paper, a novel surveillance video summaryzation approach is proposed to detect the objects and targets which appear less frequently. This approach integrates clustering and background subtraction. The clustering method adopts a modified Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm to summarize the surveillance video with HSV color feature. Then the background...
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