A novel video scrambling algorithm based on generalized Fibonacci numbers is given in this paper. The experiment results show that the algorithm has better robust than the traditional video scrambling algorithm. Based...
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ISBN:
(纸本)9780889867024
A novel video scrambling algorithm based on generalized Fibonacci numbers is given in this paper. The experiment results show that the algorithm has better robust than the traditional video scrambling algorithm. Based on the property of uniformity of the corresponding Fibonacci transformation, the suggested method has the following advantages: (1) Encoding and decoding are very simple and they can be applied in real-time situations. (2) The algorithm can endure severe attacks such as extreme noise levels, very high loss in its data or data packets. (3) The algorithm is independent on any video format or encode mode.
Face recognition has always been a hot topic in research, and has also widely been applied in industry areas and daily life. Nowadays, face recognition models with excellent performance are mostly based on deep neural...
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This paper proposes a new method for feature extraction and recognition, namely, the fuzzy bidirectional maximum margin criterion (FBMMC) based on the maximum margin criterion and fuzzy set theory. In FBMMC, a members...
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The selection and optimization of model filters affect the precision of motion pattern identification and state estimation in maneuvering target tracking *** at improving performance of model filters,a novel maneuveri...
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The selection and optimization of model filters affect the precision of motion pattern identification and state estimation in maneuvering target tracking *** at improving performance of model filters,a novel maneuvering target tracking algorithm based on central difference Kalman filter in observation bootstrapping strategy is *** framework of interactive multiple model(IMM) is used to realize identification of motion pattern,and a central difference Kalman filter(CDKF) is selected as the model filter of *** the advantage of multi-sensor fusion method in improving the stability and reliability of observation information,the hardware cost of the observation system for multiple sensors is adopted,meanwhile,according to the data assimilation technique in Ensemble Kalman filter(En KF),a bootstrapping observation set is constructed by integrating the latest observation and the prior information of observation *** that basis,these bootstrapping observations are reasonably used to optimize the filtering performance of CDKF by means of weight fusion *** object of new algorithm is to improve the tracking precision of observed target by the multi-sensor fusion method without increasing the number of physical *** theoretical analysis and experimental results show the feasibility and efficiency of the proposed algorithm.
As we all know, the content-based image retrieval (CBIR) is very time-consuming due to the extraction and matching of high dimensional and complex features. The traditional CBIR systems could not respond to a very lar...
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We present a non-rigid object matching algorithm based on hyper graph method. Previous work has achieved good performance for rigid object matching. However, because of deformation and wrinkle, existing algorithms can...
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A distributed warehouse management system is design based on the *** framework. Unlike many frameworks which focus on the database data operation or construct flexible user interface, the proposed project mainly focus...
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In this paper, we present a novel object matching approach using the method considering both the similarity on regions and structure in its feature space. The previous works [1], [2] and [3] show that it's possibl...
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In this paper,a technique based on image pyramid and Bayes rule for reducing noise effects in unsupervised change detection is *** using Gaussian pyramid to process two multitemporal images respectively,two image pyra...
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In this paper,a technique based on image pyramid and Bayes rule for reducing noise effects in unsupervised change detection is *** using Gaussian pyramid to process two multitemporal images respectively,two image pyramids are *** difference pyramid images are obtained by point-by-point subtraction between the same level images of the two image *** resizing all difference pyramid images to the size of the original multitemporal image and then making product operator among them,a map being similar to the difference image is *** difference image is generated by point-by-point subtraction between the two multitemporal images *** last,the Bayes rule is used to distinguish the changed *** synthetic and real data sets are used to evaluate the performance of the proposed *** results show that the map from the proposed technique is more robust to noise than the difference image.
The paper proposed a new method based on the multi-edited nearest neighbor rule to prevent decision tree algorithms from growing a tree of unnecessary large size and hence partially alleviate the problem of "over...
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