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This paper presents a method for human action recognition from depth sequence. First, we subdivided the normalized motion energy vector into a set of segments, whose corresponding frame indices are used to partition a video. Then each sub-action is represented by three Depth Motion Maps (DMMs) to capture motion cues in three orthogonal projection views. Multi-scale Histogram of Oriented Gradients...
Previous work has shown that perceptual texture similarity and relative attributes cannot be well described by computational features. In this paper, we propose to predict human's visual perception of texture images by learning a non-linear mapping from computational feature space to perceptual space. Hand-crafted features and deep features, which were successfully applied in texture classification...
Face recognition has become an active research area which has attracted many researchers' attention. In this paper, a new method is proposed, and it selects features in the fractional Fourier domain for face recognition. This new method selects the transform orders by computing the trace ratio of each transform order, then merges three orders' amplitude information of two dimensional discrete fractional...
In this paper, it presents a novel approach for selecting discriminative features in multimodal information fusion based discriminative multiple canonical correlation analysis (DMCCA), which is the generalized form of canonical correlation analysis (CCA), multiple canonical correlation analysis (MCCA) and discriminative canonical correlation analysis (DCCA). The proposed approach identifies the discriminative...
This paper deals with the problem that how to use the distance information of millimeter wave (MMW) radar in the target-tracking of forward looking infrared (FLIR) image sequences. Many conventional image based trackers use timing updating to update template, but how to confirm an appropriate updating period is a difficult problem. However, the presence of noise and image magnification as the camera...
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