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检索条件"机构=Key Laboratory of Computer Vision and System"

共 409 条记录，以下是121-130 订阅

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Single image super resolution for license plate

Single image super resolution for license plate

引用

2010 6th International Conference on Natural Computation, ICNC'10

作者： Xue, Yanbing Deng, Wenhui Zhou, Dongsheng Zhang, Hua Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology 300191 Tianjin China

ISBN: (纸本)9781424459612

A single image super resolution algorithm for license plate preprocessing is proposed in this paper. The image to be enhanced is modeled as a Markov Random Field and is estimated from the input low resolution image by image patch pairs. From the input image and the training set, observation function and compatibility function can be calculated. Then Bayesian Belief Propagation is used to select the most probable high resolution patches candidate in the MRF model. The experiment shows that using this method can get better license plate with more information for further recognition. © 2010 IEEE.

关键词： Belief propagation

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Otsu thresholding segmentation algorithm based on Markov Random Field

Otsu thresholding segmentation algorithm based on Markov Ran...

引用

2011 7th International Conference on Natural Computation, ICNC 2011

作者： Wang, Qian Zhang, Hua Qi Dong Niu, Qingxiao Xu, Guangping Xue, Yanbing Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin 300384 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology 300384 Tianjin China

ISBN: (纸本)9781424499533

Since Otsu algorithm does not take the image spatial neighbor information into consideration, we combine the Markov random field with Otsu algorithm to integrate gray level information and spatial correlation information for the pixels. In this paper, Otsu thresholding algorithm based on Markov Random Field is proposed. In this algorithm, the neighborhood rejectability function is imported to Otsu algorithm and an threshold selection function is improved. The experiment results verify that applying our algorithm to road image segmentation can achieve good effects. © 2011 IEEE.

关键词： Image segmentation

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Dynamic vehicle scheduling problem with changeable time window

Dynamic vehicle scheduling problem with changeable time wind...

引用

6th International Conference on Fuzzy systems and Knowledge Discovery, FSKD 2009

作者： Fan, Jianhua Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology 300191 Tianjin China Key Laboratory of Computer Vision and System Tianjin University of Technology Ministry of Education 300191 Tianjin China

ISBN: (纸本)9780769537351

A new dynamic vehicle scheduling algorithm with changeable time window is presented. This algorithm can consider both bespoken demand and real-time demand. The initial routings are constructed by insertion algorithm, and improved by tabu search algorithm. The time window adjusting policy is presented to allow assigning other feasible time windows for customers. The simulation results show that the algorithm can reduce the number of rejected customers significantly compared with the algorithm with hard constraints of time window. The algorithm can deal with real-time demand dynamically, and the tabu search can improve the initial solution effectively and save traveling cost. © 2009 IEEE.

关键词： Vehicle routing

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A new intrusion detection system based on protocol acknowledgement

A new intrusion detection system based on protocol acknowled...

引用

International Conference on Multimedia Technology

作者： Wang, Chundong Deng, Quancai Chang, Qing Zhang, Hua Wang, Huaibin Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology 300191 Tianjin China Key Laboratory of Computer Vision and System Tianjin University of Technology Ministry of Education 300191 Tianjin China

ISBN: (纸本)9781424478743

Pattern matching method has been used in this paper, and intrusion detection method based on protocol acknowledgement is proposed. We analyze how to determine the time interval value of ΔT and the threshold value of N, and the existence of direct proportion relationship between ΔT and N is proved. The protocol acknowledgement module includes packet filtering and state protocol analysis techniques. Packet filtering technology can filter out the packet that the system does not care about to improve the efficiency of intrusion detection and security of the system itself;state protocol analysis technology that captures the data and maps for the state sequence accurately characterizes the process and attack steps of the protocol, which can effectively detect the invasion of multiple data packets collaboration. DDoS attack device is used to simulate the attack in the experiment. Experimental results show that the protocol acknowledgement method can effectively detect the attack that is similar to "TCP SYN FLOOD" and "Ping probe" attacks. ©2010 IEEE.

关键词： Pattern matching

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Research on DCW-PSO algorithm and its application in intelligent transportation systems

Research on DCW-PSO algorithm and its application in intelli...

引用

5th International Conference on Natural Computation, ICNC 2009

作者： Li, Wenjie Zhu, Kun Tianjin Key Laboratory of Intelligence Computing Novel Software Technology Tianjin University of Technology 300191 Tianjin China Key Laboratory of Computer Vision and System Tianjin University of Technology Ministry of Education 300191 Tianjin China

ISBN: (纸本)9780769537368

Based on the urban traffic network's real-time characteristic, a particle swarm optimization with dynamically changing weight (DCW-PSO) is adopted in order to search the optimal path quickly and efficiently. This algorithm brings in the factors of evolution speed and aggregation degree, based on which the weight is changed dynamically in each iteration process. Finally, the DCW-PSO proposed in this paper and the algorithm of particle swarm optimization with linearly decreasing weight (LCDPSO) are tested separately in the process of searching the optimal path, and the conclusion is drew out that DCW-PSO is more suitable to search the optimal path in Intelligent Transportation systems. © 2009 IEEE.

关键词： Particle swarm optimization (PSO)

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A shape contour description method based on chain code and Fast Fourier Transform

A shape contour description method based on chain code and F...

引用

2011 7th International Conference on Natural Computation, ICNC 2011

作者： Niu, Qingxiao Zhang, Hua Liu, Jing Wang, Qian Xu, Guangping Xue, Yanbing Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology 300384 Tianjin China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300384 China

ISBN: (纸本)9781424499533

A new shape contour description method based on eight-direction chain code and Fast Fourier Transform (FFT) is proposed. Firstly, chain code tracks shape boundary sequentially, according to the relationship between contour and chain-code projection-transform value. A constructed chain-code function of contour is transformed using FFT. After optimization, then a new Fourier Constant Factor Descriptor is proposed which is called FCFD. The descriptor is independent of initial point and has rotation, shift and scale (RSS) invariant properties. The results of experiments show that our shape contour description method based on FFT reduces computation and improves the efficiency of data processing effectively. © 2011 IEEE.

关键词： Fast Fourier transforms

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Research on domain ontology-based concept similarity calculation

Research on domain ontology-based concept similarity calcula...

引用

2nd International Conference on Engineering and Technology Innovation 2012, ICETI 2012

作者： Li, Wenjie Shi, Shasha Liu, Si Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology 300384 Tianjin China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology 300384 Tianjin China

ISBN: (纸本)9783037856123

Similarity computing of ontological concept has made rapid progress in the field of data mining, information processing and artificial intelligence and becoming one of the hot research field of information technology, particularly the idea of the semantic Web was proposed in 2000, the concept of semantic similarity has gotten more attention, while also facilitating its further development and application in information retrieval. Considering the deficiencies of existing concept similarity algorithm, this paper design the method to reduce the candidate set of domain concept, and put forward a similarity calculation model based on the concept name, instances, properties, and semantic structure of domain ontology. Integrated several main influencing factors, the experiments show the proposed algorithm can express the impact of various factors on the similarity in the calculation concept similarity of domain ontology. By comparing with the traditional similarity method and expertise experience value, the experiment result shows that the effectiveness and correctness of the concept similarity calculation model. © (2013) Trans Tech Publications, Switzerland.

关键词： Data mining

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A smooth handoff algorithm with dynamic scan time interval

A smooth handoff algorithm with dynamic scan time interval

引用

International Conference on Electrical and Control Engineering, ICECE 2010

作者： Wang, Huai-Bin Luo, Hong-Wei Wang, Chun-Dong Zhao, Yan-Jun Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology 300191 Tianjin China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology 300191 Tianjin China

ISBN: (纸本)9780769540313

Because of the virtue mobility, flexibility, and convenience, more and more wireless network are used in our everyday life. During the move between two scales of different AP (Access Point), the quality of the services heavily depends on the seamless handoff scheme which provide less packet lost. There are many people propose lots of strategies to reduce packet lost and do many contribution to it. In this paper, a dynamically adjusted buffer size algorithm and a predictable handoff tendency formula are used together. We use the two schemes to reduce packet lost. According to analysis the simulation result, we can conclude that the method we used in experiment reduce the packet lost when a MN (Mobile Node) move from one scale to another. © 2010 IEEE.

关键词： Packet loss

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Particle swarm optimized unscented particle filter for target tracking

Particle swarm optimized unscented particle filter for targe...

引用

2009 2nd International Congress on Image and Signal Processing, CISP'09

作者： Shuying, Yang Ma, Qin Wenjuan, Huang Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology 300191 Tianjin China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9781424441310

In this paper, a novel particle swarm optimized (PSO) unscented particle filter (PSO-UPF) algorithm is proposed for target tracking. Unscented particle filter (UPF) can obtain the better sequential importance sampling than the traditional PF algorithm. Then we use PSO to optimize the state equation of UPF. So that the particle set can tend to the high likelihood region before the weights updated, thereby the impoverishment of particles can be overcome. While, the optimization process makes the particles which far away from the true state tend to the region where the true state has a greater probability of emergence, it can enhance the effect of each particle. Experiment results show that our modified particle filter algorithm uses fewer particles than the general particle filters and its performance outperforms them. And the accuracy of video tracking is improved. ©2009 IEEE.

关键词： Target tracking

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Online boosting tracking with fragmented model

Online boosting tracking with fragmented model

引用

19th International Conference on Advances in Multimedia Modeling, MMM 2013

作者： Shen, Dingcheng Zhang, Hua Xue, Yanbing Xu, Guangping Gao, Zan Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology 300384Tianjin China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology 300384Tianjin China

ISBN: (纸本)9783642357275

We propose a novel method combining online boosting and fragment to overcome the drifting problem in on-line boosting tracking. We find that in previous on-line boosting method, the voting weights of the first few selectors are so big that the remainders can not affect the final strong classifier. This problem occurs because the voting weight of selectors are passing globally to adapt to the object variation, but usually only parts of object changes significantly in short time, and the changing part only affect its neighborhood, not the whole target area. So we divide the selector into fragments to get spatial information. The best weak classifier in each selector is combined linearly to get the final strong classifier and then find the location of the object in next frame. Experiments show robustness and generality of the proposed method. © Springer-Verlag 2013.

关键词： computers

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