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检索条件"主题词=Detection algorithms"

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Performance evaluation of scene change detection algorithms

Performance evaluation of scene change detection algorithms

引用

Asia-Pacific Conference on Communications

作者： Jong Whan Jang Il Kyun Oh Department of Information and Communication Engineering Pai Chai University Taejon South Korea

ISBN: (纸本)7563504028

Scene change detection algorithms become the key issues especially for video information in many digital video applications such as digital libraries and video servers. The accuracy and execution speed of the scene change detection algorithm is critical if large amounts of video data are to be processed. In this paper, we discuss the performance of the three previous proposed methods and present a new algorithm to use the histogram difference of DC images incorporating the HVS (human visual system) for fast and accurate detection. The simulation results are also presented for two test video sequences, commercials and news, to show that the proposed algorithm works better than the previous ones.

关键词： Layout detection algorithms Video sequences Change detection algorithms Video on demand Video compression Information retrieval Histograms Decoding Computational efficiency

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A new resource for independent and blinded assessment of QRS detection algorithms

A new resource for independent and blinded assessment of QRS...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： D. Tsunami J. McNames M. Aboy M.S. Ellenby Biomedical Signal Processing Laboratory Electrical and Computer Engineering Portland State University Portland OR USA Complex Systems Laboratory Pediatrics Oregon Health and Sciences University Portland OR USA

We describe a new resource for developers of QRS detection algorithms that provides a standardized assessment of algorithm performance that is blinded, objective, independent, and reproducible. This overcomes the problems of using a single data set for both development and assessment that leads to favorably biased estimates of performance.

关键词： detection algorithms Databases Electrocardiography Signal processing algorithms Laboratories Medical diagnostic imaging Pediatrics Algorithm design and analysis Heart rate Tsunami

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Multiple model estimation for improving conflict detection algorithms

Multiple model estimation for improving conflict detection a...

引用

IEEE International Conference on Systems, Man and Cybernetics

作者： L.C. Yang Ji Hyun Yang E.M. Feron Massachusetts Institute of Technology USA

We present a framework for improving conflict detection algorithms using a hybrid control paradigm. This allows us to separate the problem into two parts: state/mode estimation and threat prediction. Since the dynamic equations for a conflict can change discretely depending on the situation, we propose the use of multiple model (MM) estimators to predict the situation and ultimately improve threat assessment. We provide an example using two different MM estimators for a rear-end collision warning system. The estimators can be used to determine the scenario mode as well as improve the state estimates

关键词： detection algorithms State estimation Vehicle dynamics Automobiles Predictive models Road accidents Aircraft Collision avoidance Differential equations Vehicles

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Acceleration of pedestrian detection algorithms on a multi-core vehicle computing platform

Acceleration of pedestrian detection algorithms on a multi-c...

引用

IEEE Youth Conference on Information, Computing and Telecommunication, YC-ICT

作者： Yongpan Liu Yihao Zhu Sunny Zhang Senjie Zhang Huazhong Yang TNList EE Department Tsinghua University Beijing China INTEL Research Laboratory Beijing China

Vehicle-based pedestrian detection system receives more and more attentions in road safety applications of the modern intelligent transportation system. However, the existed detection algorithms are too computing extensive for single core vehicle-based processors. As the promising multi-core architecture provides both energy efficient and powerful computing solutions, it is relevant to evaluate the up-to-date pedestrian detection algorithm on such novel platforms. This paper implemented a popular template based pedestrian detection algorithm on such platforms and gave out computing bottlenecks by profiling. Furthermore, we proposed an application aware multithread accelerating technique. Experimental results showed that our design can achieve nearly 2 - 4x speedups on multi-core processors for critical function blocks, which reduces total execution time ranging from 26 to 41%.

关键词： Acceleration detection algorithms Intelligent transportation systems Vehicle detection Road safety Intelligent vehicles Road transportation Computer architecture Energy efficiency Multicore processing

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Evaluating and Comparing the IGraph Community detection algorithms

Evaluating and Comparing the IGraph Community Detection Algo...

引用

Brazilian Conference on Intelligent Systems (BRACIS)

作者： Fabiano Berardo de Sousa Liang Zhao Inst. of Math. & Comput. Sci. Universidade de Sao Paulo Sao Paulo SÃ£o Paulo BR School of Philosophy Sciences and Literatures University of São Paulo Ribeirão Preto SP Brazil

Complex networks became a very important tool in machine learning field, helping researchers to investigate and mine data. They can model real dynamic networks, aiding to unveil information's about the systems they model. Communities are notable groups that may exist in a complex network and the community detection problem is the focus of attention of many researchers. The igraph library implements a good set of community detection algorithms, allowing researchers to easily apply them to data mining tasks. But each algorithm uses a different approach, leading to different performances. In this paper, the community detection algorithms implemented in the igraph library are investigated and ranked according to their performances in a set of different scenarios. Results show walktrap and multi-level got the highest scores while leading eigenvector and spinglass got the lowest ones. These findings are an important contribution for aiding researchers to select or discard algorithms in their own experiments using igraph library.

关键词： Communities Mathematical model Libraries Equations Graphics Algorithm design and analysis detection algorithms

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Study on Automated Incident detection algorithms for Freeways Based on SVM

Study on Automated Incident Detection Algorithms for Freeway...

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World Congress on Intelligent Control and Automation (WCICA)

作者： Guiyan Jiang Zhili Cai Longhui Gang Haifeng Guo College of Transportation Jilin University Changchun China

Aimed at the problem that many AID algorithms have lower detection rate and higher false alarming rate, this paper proposed a kind of AID algorithms for freeways based on SVM. The eigenvector reflecting traffic state was designed according to selected traffic measures that can be provided by many kinds of traffic sensors. AID algorithms were designed based on different sorts of SVM models and tested and compared with simulated data. The results showed that the performances of proposed methods are better than selected classic AID algorithms

关键词： detection algorithms Traffic control Support vector machines Transportation Educational institutions Algorithm design and analysis Testing Intelligent control Automation

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A performance comparison of deadlock prevention and detection algorithms in a distributed file system

A performance comparison of deadlock prevention and detectio...

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International Phoenix Conference on Computers and Communications (IPCCC)

作者： A. Hac X. Jin J.-H. Soo AT&T Bell Labaratories Naperville IL USA Department of Computer Science Johns Hopkins University Baltimore MD USA

A description is given of an implementation and performance evaluation of different deadlock prevention and detection algorithms. The algorithms are implemented in a locally distributed system. A number of experiments were executed in a distributed system for various lengths of file operation and different numbers of files. The performance of the system and of each algorithm is evaluated and discussed.< >

关键词： System recovery detection algorithms File systems Computer science Resource management Process control Computational complexity Polynomials Performance analysis Algorithm design and analysis

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Comparison of signal peak detection algorithms for self-gated cardiac cine MRI

Comparison of signal peak detection algorithms for self-gate...

引用

Computers in Cardiology (CinC)

作者： G.M. Nijm A.V. Sahakian S. Swiryn A.C. Larson Northwestern University Evanston IL USA

Self-gating (SG) is a cardiac MRI technique to synchronize data acquisition to the cardiac cycle based upon MR signal triggers as opposed to conventional ECG triggers. Fourteen healthy subjects underwent cardiac MRI scans in four different orientations: two chamber, three chamber, four chamber, and short axis. SG trigger times were computed using two methods, first difference and template matching, and ECG trigger times were also recorded for comparison. The root-mean-square (RMS) error was used to evaluate performance, defined as the variability relative to the mean difference between SG trigger times and ECG trigger times. The mean RMS error was lower for template matching than first difference approach for all scan orientations; the improvement in RMS error was statistically significant for all orientations except short axis. In conclusion, compared to the first difference approach, template matching improved the accuracy of trigger detection for two, three, and four chamber SG cardiac MRI scans.

关键词： Signal detection detection algorithms Magnetic resonance imaging Electrocardiography Frequency synchronization Interference Data acquisition Signal processing Low pass filters Magnetic switching

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Fusing conventional ECG QRS detection algorithms with an auto-associative neural network for the detection of ectopic beats

Fusing conventional ECG QRS detection algorithms with an aut...

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International Conference on Signal Processing Proceedings (ICSP)

作者： G. Clifford L. Tarassenko N. Townsend Department of Engineering Science University of Oxford Oxford UK

The onset of a potentially fatal arrhythmia is often preceded by abnormal morphologies in the QRS complex, the main feature in the electrocardiogram. However, these ectopic beats are difficult to detect as their shape is very similar to those found in a normal sinus rhythm. We show how an auto-associative multi-layer perceptron can be trained to detect normal beats only, so that the subtle abnormalities in the shape of ectopic beats become clearly identifiable. Details of how to train the network for use in a clinical environment are given utilising a new parameter, the variance ratio. Results for a study of the combination of algorithms to produce a robust ectopic beat detector are presented. Finally we discuss an on-line implementation for patient-specific adaptability.

关键词： Electrocardiography detection algorithms Neural networks Heart rate variability Morphology Shape Rhythm Detectors Heart rate Multilayer perceptrons

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A study on compare pitch detection algorithms

A study on compare pitch detection algorithms

引用

IEEE Signal Processing and Communications Applications (SIU)

作者： Cansu Kadı Seda Gökhüseyin Yard.Doç.Umut Arıöz Bilgisayar Mühendisliği Bölümü Gazi Üniversitesi Ankara Türkiye

In this paper, three algorithms were choosen by reviewing the literature about pitch detection and implemented on the Matlab environment. Runtimes and error rates of these algorithms were compared with each other. These algorithms are Harmonic Product Spectrum (HPS), Cepstral Pitch Tespit (CPD) and Autocorrelation Method. the observed results showed that the fastest algorithm is CPD and the slowest algorithm is HPS. The least error was achieved at 44.1 kHz sample rate for all algorithms. HPS algorithm become more successful with %99 success ratio in noiseless environment.

关键词： detection algorithms Cepstrum Speech Speech processing Speech recognition Signal to noise ratio

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