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检索条件"主题词=detection algorithms"

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Wavelet-based smoke detection in outdoor video sequences

Wavelet-based smoke detection in outdoor video sequences

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Midwest Symposium on Circuits and Systems (MWSCAS)

作者： R. Gonzalez-Gonzalez V. Alarcon-Aquino R. Rosas-Romero O. Starostenko J. Rodriguez-Asomoza J. M. Ramirez-Cortes Department of Computing Electronics and Mechatronics Universidad de las Américas-Puebla Puebla Mexico Department of Electronics Instituto Nacional de Astrofísica Óptica y Electrónica Puebla Mexico

In this paper an approach to detect smoke columns from outdoor forest video sequences is proposed. The approach follows three basic steps. The first step is an image pre-processing block which resizes the image by applying a bicubic interpolation algorithm. The image is then transformed to its intensity values with a gray-scale transformation and finally the image is grouped by common areas with an image indexation. The second step consists of a smoke detection algorithm which performs a stationary wavelet transform (SWT) to remove high frequencies on horizontal, vertical, and diagonal details. The inverse SWT is then implemented and finally the image is compared to a non-smoke scene in order to determine the possible regions of interest (ROI). In order to reduce the number of false alarms, the final step of the proposed approach consists on a smoke verification algorithm, which determines whether the ROI is increasing its area or not. These results are combined to reach a final decision for detecting a smoke column on a sequence of static images from an outdoor video. Experimental results show that multi-resolution wavelet analysis is more accurate than the traditional low-pass filters on this application.

关键词： Smoke detectors Video sequences Interpolation Gray-scale detection algorithms Wavelet transforms Frequency Layout Wavelet analysis Low pass filters

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An object-based change detection approach by integrating intensity and texture differences

An object-based change detection approach by integrating int...

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International Asia Conference on Informatics in Control, Automation and Robotics, CAR

作者： Lingcao Huang Guo Zhang Yang Li School of Remote Sensing Information Engineering Wuhan University of China Wuhan China State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan University of China Wuhan China Chinese Academy of Surveying and Mapping Beijing China

ISBN: (纸本)9781424451920;9781424451937;9781424451944

With the development of remote sensing technology, using remote sensing images to do change detection is becoming a hotspot. This paper introduces the research status of pixel-based and object-based change detection technology as well as comments on several change detection methods. A technique for pixel-based change detection by integrating the intensity and texture differences between two frames is studied. An object-based change detection method based on this technique is proposed. Experimental results show that the integrated measure is robust with respect to the illumination changes and noise, the performance of which is outstanding especially when applied to object-based change detection because of pixels' consistency in an object and sharp contrast between objects.

关键词： Remote sensing Pixel Object detection Image analysis Earth Humans Algorithm design and analysis Robotics and automation Change detection algorithms detection algorithms

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Research on Indoor Localization Algorithm Based on Multi-scale Features detection

Research on Indoor Localization Algorithm Based on Multi-sca...

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International Conference on Computational and Information Sciences (ICCIS)

作者： Xu Chen Huiqing Zhang College of Electronic Information and Control Engineering Beijing University of Technology Beijing China

As the result of the requirements of accuracy and speediness of indoor localization algorithm, we improved the performance of corner detection algorithm. In this paper, the theory of multi-scale is introduced into the classical harris algorithm, and detects local maximum points at each scale level. This method might overcome the drawback that the single-scale harris detector usually leads to either missing significant corners or detecting false corners due to noise, and it not only maintains the advantages of traditional harris corner which is invariant to the changes of intensity and camera pose but also can be used in multi-scale. Experimental results demonstrate the effectiveness of the proposed algorithm.

关键词： Feature extraction Correlation detection algorithms Target tracking Image edge detection Convolution

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An Abrupt Shot Change detection Algorithm Based on the YUV Space

An Abrupt Shot Change Detection Algorithm Based on the YUV S...

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International Conference on Electrical and Control Engineering (ICECE)

作者： Xiao-juan Yuan Hong-cai Feng

To effectively avoid light and ads subtitles influence on the video detection, this paper presents a method of video abrupt shot change detection based on the color space of YUV. We take advantage of the separable feature of YUV color space model to detect abrupt shot change preliminary through the Y component histogram. Then we utilize the characteristic of U component, which is not sensitive to light, to eliminate false change frames caused by flash, and the abrupt shot change is detected finally. Results show that the method proposed in the paper can detect abrupt shot change efficiently.

关键词： Histograms Image color analysis Pixel Streaming media Brightness Computers detection algorithms

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Anytime online novelty detection for vehicle safeguarding

Anytime online novelty detection for vehicle safeguarding

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Boris Sofman J. Andrew Bagnell Anthony Stentz Robotics Institute Carnegie Mellon University Pittsburgh PA USA

Novelty detection is often treated as a one-class classification problem: how to segment a data set of examples from everything else that would be considered novel or abnormal. Almost all existing novelty detection techniques, however, suffer from diminished performance when the number of less relevant, redundant or noisy features increases, as often the case with high-dimensional feature spaces. Many of these algorithms are also not suited for online use, a trait that is highly desirable for many robotic applications. We present a novelty detection algorithm that is able to address this sensitivity to high feature dimensionality by utilizing prior class information within the training set. Additionally, our anytime algorithm is well suited for online use when a constantly adjusting environmental model is beneficial. We apply this algorithm to online detection of novel perception system input on an outdoor mobile robot and argue such abilities could be key in increasing the real-world applications and impact of mobile robotics.

关键词： Vehicle detection Vehicle safety Mobile robots detection algorithms Fault detection Robotics and automation Orbital robotics Vegetation mapping Humans Principal component analysis

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detection of the Evil ring attack in wireless sensor networks using cross verification

Detection of the Evil ring attack in wireless sensor network...

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IEEE International Symposium on World of Wireless Mobile and Multimedia Networks (WoWMoM)

作者： Wei Shi Michel Barbeau Jean-Pierre Corriveau Information Technology University of Ontario Institute Technology Oshawa Canada School of Computer Science Carleton University Ottawa Canada

In ad hoc networks and wireless sensor networks, several routing algorithms rely on the knowledge by the network nodes of their own geographic location and those of others. For cases where a node doesn't have its own positioning device (e.g., GPS), Alfaro et al. propose several algorithms that a node can run to determine its geographic position using position reports from neighbors. In this paper, we first present the evil ring attack, an attack on the geographic location algorithms of Alfaro et al. that misleads nodes about the true position of their neighbors. An attacker sends false reports with a position that sits on a circle centered at the victim's location and of a radius equal to the distance between the victim and attacker. The attack succeeds because the calculation of the distance between the victim and attacker is not affected despite this fake position. We then present and analyze an evil ring attack detection algorithm in which a position-unaware sensor node crosschecks the consistency of the information it collects from its neighbors with the information collected by other trusted neighbors. This algorithm detects the existence of neighbors running the evil ring attack. We propose a general distributed algorithm for a) localizing sensors in a wireless sensor network in the presence of some malfunctioning ones, and b) detecting such malfunctioning sensors.

关键词： Wireless sensor networks Routing Knowledge engineering Global Positioning System detection algorithms Mathematical model Equations

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Low-complexity image processing for real-time detection of neonatal clonic seizures

Low-complexity image processing for real-time detection of n...

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International Symposium on Applied Sciences on Biomedical and Communication Technologies, ISABEL

作者： G. Ferrari G. M. Kouamou C. Copioli R. Raheli F. Pisani Department of Information Engineering University of Parma Italy Department of Gynecology Obstetric and Neonatal Sciences University of Parma Italy

In this paper, we consider a novel low-complexity image processing-based approach to the detection of neonatal clonic seizures. Our approach is based on the extraction, from a video recording of a newborn, of an average luminosity signal representative of the body movements. Since clonic seizures are characterized by periodic movements of parts of the body (e.g., the limbs), by evaluating the periodicity of the extracted average luminosity signal it is possible to estimate the presence of a seizure. The periodicity is detected, through a hybrid autocorrelation-Yin estimation technique, on a per-window basis, where a window is constituted by a sequence of consecutive video frames. While we first consider single windows, we extend our approach to a scenario with interlaced windows. The performance of the proposed algorithm is investigated, in terms of sensitivity and specificity, considering video recordings of newborns affected by neonatal seizures. Our results show that the use of interlaced windows guarantees both sensitivity and specificity values above 90%.

关键词： Pediatrics Sensitivity Pixel Video recording Image processing Electroencephalography detection algorithms

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Representation and clustering of time series by means of segmentation based on PIPs detection

Representation and clustering of time series by means of seg...

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International Conference on Computer and Automation Engineering, ICCAE

作者： Sang-Ho Park Seok-Ju Chun Ju-Hong Lee Jae-Won Song Department of Computer Science & Information Engineering Inha University Incheon South Korea Department of Computer Education Seoul National University of Education Seoul South Korea

ISBN: (纸本)9781424455690

SAX is the representative time series representation method. SAX used the PAA technique to reduce the dimension of time series. But PAA technique has the demerit that cannot represent various movement shapes of time series exactly in lower dimensional space, since its smoothing effect distorts the dynamic characteristic of time series. Therefore, this paper suggests new representation method of time series using PIPs detection technique. The proposed method can represent various movement shapes of times series exactly than SAX. Because the PIP is the most important factor that determines the movement shapes of time series. The experimental result shows that the proposed time series representation is superior to SAX.

关键词： Shape Computer science Discrete wavelet transforms detection algorithms Computer science education Aggregates Smoothing methods Time series analysis Wavelet analysis Singular value decomposition

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Road detection using support vector machine based on online learning and evaluation

Road detection using support vector machine based on online ...

引用

IEEE Symposium on Intelligent Vehicle

作者： Shengyan Zhou Jianwei Gong Guangming Xiong Huiyan Chen Karl Iagnemma Intelligent Vehicle Research Center Beijing Institute of Technology China

Road detection is an important problem with application to driver assistance systems and autonomous, self-guided vehicles. The focus of this paper is on the problem of feature extraction and classification for front-view road detection. Specifically, we propose using Support Vector Machines (SVM) for road detection and effective approach for self-supervised online learning. The proposed road detection algorithm is capable of automatically updating the training data for online training which reduces the possibility of misclassifying road and non-road classes and improves the adaptability of the road detection algorithm. The algorithm presented here can also be seen as a novel framework for self-supervised online learning in the application of classification-based road detection algorithm on intelligent vehicle.

关键词： Support vector machines Machine learning Support vector machine classification detection algorithms Vehicle detection Remotely operated vehicles Road vehicles Vehicle driving Mobile robots Feature extraction

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Blind detection of Frequency Hopping Signal Using Time-Frequency Analysis

Blind Detection of Frequency Hopping Signal Using Time-Frequ...

引用

International Conference on Wireless Communications, Networking and Mobile Computing (WiCom)

作者： Haiyan Luan Hua Jiang China Nat. Digital Switching Syst. Eng. & Technol. Res. Center Zhengzhou China

The paper proposes a detection algorithm for the frequency hopping signals in intricate electromagnetic environment using time-frequency analysis. To overcome the difficulty brought by the unsteady distribution and energy fading, an adaptive time-frequency local threshold is applied to preprocess the spectrogram; And by the methods such as spectrogram modification and time-statistic, most of the interferences are successfully removed. And finally the detection of FH signals is realized.

关键词： Spectrogram Time frequency analysis Noise Electromagnetics detection algorithms Correlation

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