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When the gait feature is recognized, it will be hard to meet the real-time need due to the complexity and long calculated time of the recognition algorithm. Under this circumstance, a novel sparse representation based human gait recognition method is put forth which is based on. First of all, human silhouette is established and gait period is calculated. Next, we adopt Shifting Energy Image (SEI)...
Classification and identification of moving vessels by extracting particular features of the underwater radiated noise generated by the propellers for use within a port area are an attractive topic for a port underwater surveillance system. The authors first present a chirp-periodic signal model for the envelope of accelerating propeller noise, then derive the maximum-likelihood estimator (MLE) for...
It remains a challenge to automatically segment video objects consistent with human visual perception and content understanding. Based on extensive literature survey on existing video object segmentation algorithms, we propose in this paper an integrated approach for semantic video object segmentation, where shape cues in successive frames is taken into account in exploiting the principle of change...
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