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Contour tracking using weighted structure tensor based variational level set
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作者 胡宏伟 马波 曹淑娟 《Journal of Beijing Institute of Technology》 EI CAS 2014年第2期218-225,共8页
A novel contour tracking method using weighted structure tensor based variational level set is proposed in this paper.The image is first converted to weighted structure tensor field by extracting apositive definite sy... A novel contour tracking method using weighted structure tensor based variational level set is proposed in this paper.The image is first converted to weighted structure tensor field by extracting apositive definite symmetric covariance matrix for each pixel.Then,a level set method is employed to represent object contour implicitly which separates the image domain into two areas each modeled by tensor field based Gaussian mixture model separately.By solving agradient flow equation of energy functional with respect to the level set,the object contour will converge to its real profile in the newly arrived frame.Experimental results on several video sequences demonstrate the better performance of our method than the other two contour tracking algorithms. 展开更多
关键词 contour tracking weighted structure tensor Gaussian mixture model level set
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Dimensions of Weighted Besicovitch Sets 被引量:1
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作者 Yu Qiong XIE Zhi Xiong WEN Min YU 《Acta Mathematica Sinica,English Series》 SCIE CSCD 2010年第4期711-716,共6页
We consider weighted Besicovitch sets which are defined in terms of the weighted frequency of digit 1 in the dyadic expansion of real numbers. Explicit formulas for their Hausdorff dimensions are given.
关键词 Hausdorff dimension weighted Besicovitch set
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Consistency of weighted feature set and polyspectral kernels in individual communication transmitter identification
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作者 Na SUN Yajian ZHOU Yixian YANG 《Frontiers of Electrical and Electronic Engineering in China》 CSCD 2010年第4期488-492,共5页
This paper presents a method using support vector machine with polyspectral kernels for classification of individual transmitters.Then,the neighborhood-roughset-based weighted feature set is proposed.The experiments o... This paper presents a method using support vector machine with polyspectral kernels for classification of individual transmitters.Then,the neighborhood-roughset-based weighted feature set is proposed.The experiments of the algorithms mentioned above indicate that they have consistency,which raises a new weighted kernel.The experiment shows that better classification rate can be achieved. 展开更多
关键词 polyspectral kernel support vector machine(SVM) neighborhood rough set weighted feature set weighted kernel
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Adaptive beaconing for collision avoidance and tracking accuracy in vehicular networks
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作者 Long Sun Aiping Huang +1 位作者 Hangguan Shan Lin Cai 《Journal of Communications and Information Networks》 2017年第2期30-45,共16页
In vehicular networks,the exchange of beacons among neighboring vehicles is a promising solution to guarantee a vehicle's safety.However,frequent beaconing under high vehicle density conditions will cause beacon c... In vehicular networks,the exchange of beacons among neighboring vehicles is a promising solution to guarantee a vehicle's safety.However,frequent beaconing under high vehicle density conditions will cause beacon collisions,which are harmful to a vehicle's driving safety and the location tracking accuracy.We propose an ABIwRC(Adaptive Beaconing Interval with Resource Coordination)method for a highway scenario.Each vehicle broadcasts beacon interval requests,including the intervals needed for both the vehicle's driving safety and location tracking accuracy.The RSU(Road Side Unit)allocates resources for a vehicle's beaconing according to the requests from all vehicles and the interference relationship between the vehicles in adjacent RSUs.We formulate a resource allocation problem for maximizing the sum utility,which measures the satisfaction of vehicles'requests.We then transform the optimization problem into a maximum weighted independent set problem,and propose an algorithm to solve this effciently.Simulation results show that the proposed method outperforms the benchmark in terms of beacon reception ratio,vehicle driving safety,and location tracking accuracy. 展开更多
关键词 vehicular networks BEACON driving safety location tracking accuracy maximum weight inde-pendent set interference avoidance
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