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Operating reliability has great significance for equipment condition monitoring and health evaluation. In terms of equipment to be evaluated, reliability assessment is a personalized problem. Traditional reliability assessment method relies on the probability and mathematical statistics methods, and has limited practical significance when it is used for real-time monitoring of a specific equipment...
To improve the accuracy of gait recognition by fully utilizing gait information, a human gait recognition algorithm based on the Discrete Cosine Transform (DCT) and the Linear Discriminant Analysis (LDA) is proposed in this paper. First, frequency-domain features are extracted from the Gait Energy Image (GEI) by DCT, which can effectively distinguish different frequency components of human gait. Then,...
Visual-based 3D model retrieval presents great potential, for its broad application prospects and relatively high accuracy. A branch of visual-based methods utilizes scale invariant feature transform (SIFT) on 2D rendered images of a 3D model viewed from regularly sampled locations on a sphere, and then the bag-of-words framework is employed to improve the retrieval precision. However, in existing...
An automatic segmentation method of hippo-campus for volume measurement in MR brain images by using sparse patch representation and discriminative dictionary learning is proposed in this paper, which can overcome the limitation of multi-atlas approaches that mostly rely on similarity between target image and atlases for more accurate segmentation. In the proposed method, atlases are registered to...
Aiming at the shortcomings of color histogrambased observation model in traditional particle filter, a DCTbased observation model is presented. To reduce the particle degeneration effectively, a proposal distribution based on PSO method is put forward which can make full use of the current measurement. Experimental results show that the proposed algorithm can achieve more accurate and robust tracking...
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