Based on the analysis of the groove images in gas metal arc welding with small slope angle, a new algorithm of the groove edge location is presented. The groove edge was effectively detected by combining Roberts Detec...
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Based on the analysis of the groove images in gas metal arc welding with small slope angle, a new algorithm of the groove edge location is presented. The groove edge was effectively detected by combining Roberts Detector with the general non linear gradient operator. In addition, using Norton Quadratic Polynomial Interpolation, the edge location precision reached sub pixel level. The experimental results show that the edge detection system works well under the condition of short transfer arc welding.
Vehicle detection is one of the key technologies in Intelligent Transportation System (ITS), and it i an important stage of vehicle tracking in visual surveillance. Due to the clutter of traffic scenes, the captured v...
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In this paper, we propose a novel and robust tracking framework based on online discriminative and low-rank dictionary learning. The primary aim of this paper is to obtain compact and low-rank dictionaries that can pr...
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In this paper, we propose a novel and robust tracking framework based on online discriminative and low-rank dictionary learning. The primary aim of this paper is to obtain compact and low-rank dictionaries that can provide good discriminative representations of both target and background. We accomplish this by exploiting the recovery ability of low-rank matrices. That is if we assume that the data from the same class are linearly correlated, then the corresponding basis vectors learned from the training set of each class shall render the dictionary to become approximately low-rank. The proposed dictionary learning technique incorporates a reconstruction error that improves the reliability of classification. Also, a multiconstraint objective function is designed to enable active learning of a discriminative and robust dictionary. Further, an optimal solution is obtained by iteratively computing the dictionary, coefficients, and by simultaneously learning the classifier parameters. Finally, a simple yet effective likelihood function is implemented to estimate the optimal state of the target during tracking. Moreover, to make the dictionary adaptive to the variations of the target and background during tracking, an online update criterion is employed while learning the new dictionary. Experimental results on a publicly available benchmark dataset have demonstrated that the proposed tracking algorithm performs better than other state-of-the-art trackers.
Surface integrity of 3D medical imaging is crucial for surgery simulation or virtual diagnoses. However, undesirable holes often exist due to external damage on bodies or accessibility limitation on scanners. To bridg...
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Neighborhood Preserving Embedding (NPE) is a subspace learning algorithm, which has the ability of preserving local neighborhood structure on the data manifold. Though NPE has been applied in many domains of pattern r...
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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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A new DOA (direction of arrival) estimator based on MIMO sonar system is proposed to estimate the DOA of long distance targets. First, wideband orthogonal signals are sent out by transmitting sensors and the output of...
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patternrecognition methods were used to treat the experimentally measured data of Pitzer’s coefficients of 107 electrolytes, to find the relationships between the ionic structural parameters of these electrolytes an...
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patternrecognition methods were used to treat the experimentally measured data of Pitzer’s coefficients of 107 electrolytes, to find the relationships between the ionic structural parameters of these electrolytes and Pitzer’s coefficients. It is found that these relationships can be approximately expressed as linear equations of four dimensionless numbers, (R_+/R_-), (R_++R_-)/Z_+Z_-, (Z_+/Z_-) and (R_t/R_l), where R_+ and R_- are the cationic and anionic radii respectively; Z_+ and Z_- are the cationic and anionic charge numbers respectively, and (R_t/R_l) denotes the nonsphericity of some non-spherical ions. Besides, it is found that the difference of the nuclear magnetic resonance measured rotational relaxation time of water molecules around cations and anions, |Δτ|, has good correlation with Pitzer’s coefficients. The relationships can be interpreted by the theory of corresponding states of ionic solutions. Based on the relationships, an example of application to some hydrometallurgical process was discussed.
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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