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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems VI"

共 15614 条记录，以下是4721-4730 订阅

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Multi-Sensor-Fusion System for People Counting Applications

Multi-Sensor-Fusion System for People Counting Applications

引用

International conference on Societal Automation (SA)

作者： Michal Stec viktor Herrmann Benno Stabernack Embedded Systems Group Fraunhofer Heinrich Hertz Institute HHI Berlin Germany

ISBN: (纸本)9781728133461

For economical as well as environmental reasons, logistical planning and efficient assignment of transport vehicles in public transportation need a precise knowledge of passenger utilization. To provide reliable figures sophisticated counting methods are demanded. Previously developed systems, mostly using a single 2D image sensor or a 3D depth sensor, can not fully achieve the required accuracy. In this paper, we present a robust people counting algorithm, based on multi sensor data fusion. Our solution runs on embedded systems with reasonable requirements with respect to computational power. 3D distance information, obtained from the ToF system, is used to perform the basic detection of objects. Once detected, the objects get additional classification features exploiting the data provided by a RGB camera and an IR thermal sensor. We describe the current state of fusing and processing of the collected data including the detection, classification (vital, non-vital), as well as sequential tracking and counting. We provide current counting results along with insights to future development concepts to improve the stated algorithms especially in terms of vital, non-vital classification and object recognition.

关键词： Cameras image color analysis Three-dimensional displays Calibration Target tracking Two dimensional displays Thermal sensors

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Greedy algorithms of feature selection for multiclass image classification 4

Greedy algorithms of feature selection for multiclass image ...

引用

4th International conference on Information Technology and Nanotechnology - Session: image processing and Earth Remote Sensing, IPERS-ITNT 2018

作者： Goncharova, E.F. Gaidel, A.V. Samara National Research University Moskovskoe Shosse 34 Samara443086 Russia Image Processing Systems Institute Br. of the Fed. Sci. Research Centre 'Crystallography and Photonics' of Russian Academy of Sciences Molodogvardeyskaya str. 151 Samara443001 Russia

To improve the performance of remote sensing images multiclass classification we propose two greedy algorithms of feature selection. The discriminant analysis criterion and regression coefficients are used as the measure of feature subset effectiveness in the first and second methods respectively. The main benefit of the built algorithms is that they estimate not the individual criterion for each feature, but the general effectiveness of the feature subset. As there is a big limitation on the number of real remote sensing images, available for the analysis, we apply the Markov random model to enlarge the image dataset. As the pattern for image modelling, a random image belonging to one of the 7 classes from the UC Merced Land-Use dataset has been used. Features have been extracted with help of MaZda software. As the result, the largest fraction of correctly classified images accounts for 95%. Dimension of the initial feature space consisting of 218 features has been reduced to 15 features, using the greedy strategy of removing a feature, based on the linear regression model. © 2018 CEUR-WS. All rights reserved.

关键词： Discriminant analysis

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Performance evaluation of mri pancreas image classification using artificial neural network (ANN) 2nd

Performance evaluation of mri pancreas image classification ...

引用

2nd International conference on Smart Computing and Informatics, SCI 2018

作者： Aruna Devi, B. Pallikonda Rajasekaran, M. Department of Electronics and Communication Engineering Kalasalingam University Krishnankoil India

ISBN: (纸本)9789811319204

Magnetic resonance imaging (MRI) has been used in the diagnosis and detection of pancreas tumor. The disadvantage of MRI is long time-consuming in the manual conclusion by a radiologist. Automated classifiers can update the diagnosis activity, in terms of both accuracy and time necessity. This paper is a trial to use artificial neural network (ANN) and least squares support vector machine (LSSVM) to automatically classify 168 human pancreas MR images under two categories, either normal or abnormal pancreas, and the features were extracted by gray-level cooccurrence matrix (GLCM). ANN plays a vital role, specifically in the application of pancreas tumor detection. Only a few reviews are feasible that lead to the improvement of these algorithms to enhance the diagnosis with respect to specificity and sensitivity. LSSVM is a pattern recognition algorithm which learns to assign labels to objects. Classification accuracy compares with the two methods, ANN and LSSVM. ANN provides the best classification accuracy of 96% compared to LSSVM. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Neural networks

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Measures for Matching Stereo images in Road Pavement Diagnostics 14th

Measures for Matching Stereo Images in Road Pavement Diagnos...

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14th Scientific and Technical conference on Transport systems - Theory and Practice (TSTP)

作者： Staniek, Marcin Silesian Tech Univ Gliwice Poland

ISBN: (纸本)9783319623160;9783319623153

The paper addresses the overall body of problems related to application of measures for matching stereo images in the measuring instruments used for assessment of road infrastructure condition. Selected stereo vision solutions applied in road pavement diagnostics have been explained. The main problem connected with the subject in question, namely the ambiguity of image matching, has been briefly described, and the matching algorithms commonly used have been characterised. The following measures of matching have been discussed: Sum of Absolute Differences (SAD), Zero Mean Sum of Squared Differences (ZSSD) as well as Covariance-Variance (CoVar). The studies conducted in the field addressed in the article concerned efficiency of stereo image matching for the aforementioned measures of matching. The relevant measurements were performed using images developed as outcomes of field surveys of the road infrastructure condition. The three-dimensional road pavement mapping thus obtained was compared with the mapping based on direct measurements using a dedicated diagnostic station.

关键词： Evaluation of road pavement Stereo vision image processing Measures of images matching

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Development of a vision Aided Automated Ball Retrieving Robot for Tennis Training Sessions

Development of a Vision Aided Automated Ball Retrieving Robo...

引用

International conference on Industrial and Information systems, ICIIS

作者： Dulanjana M. Perera G.M.D. Menaka W.V.K.M. Surasinghe D.G. Kanishka Madusanka Thilina Dulantha Lalitharathne Robotics and Control Systems Laboratory University of Moratuwa Sri Lanka

ISBN: (数字)9781728137063

ISBN: (纸本)9781728137070

A single training session of tennis requires 30-40 balls and these scattered balls have to be collected at the end of each session which costs time and induces unnecessary physical stress on players. This paper proposes a method to retrieve the balls which are scattered in the Tennis court back to the user. The proposed method comprises image processing techniques for object localization and the adaptation of Dijkstra's algorithm for optimum path planning for efficient navigation. Both localization and the path planning algorithms are developed on a Python platform and robot's differential drive system is controlled by a microcontroller. Communication between robot and the computer is established through Wi-Fi. Novel development of this research is the implementation of the global view method for a vast range of image acquisition and verifying its suitability in Tennis field. In order to collect balls efficiently, an adaption of an existing mechanism is proposed. Results show that the mechanism is 80% efficient in collecting balls and 100% efficient in object identification for a given environmental condition.

关键词： Containers Navigation Wheels Mobile robots Sports equipment

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Face Recognition Using Local Mapped Pattern and Genetic algorithms 2018

Face Recognition Using Local Mapped Pattern and Genetic Algo...

引用

International conference on Pattern Recognition and Artificial Intelligence (PRAI)

作者： Silva, E. M. Boaventura, M. Boaventura, I. A. G. Contreras, R. C. UNESP IBILCE Dept Appl Math Rua Cristovao Colombo 2265 BR-15054000 Sao Jose Do Rio Preto SP Brazil UNESP IBILCE Dept Comp Sci & Stat Rua Cristovao Colombo 2265 BR-15054000 Sao Jose Do Rio Preto SP Brazil Univ Sao Paulo ICMC Av Trabalhador Sao Carlense 400 BR-13566590 Sao Carlos SP Brazil

ISBN: (纸本)9781450364829

Facial recognition is one of the most used biometric technologies in automated systems which ensure a person's identity for authorizes access and monitoring. The acceptance of face use has several advantages over other biometric technologies since it is natural, it does not require sophisticated equipment, data acquisition is based on non-invasive approaches, and it can be done remotely, cooperatively or not. Although many facial recognition studies have been done, problems with light variation, facial occlusion, position, expression, and aging are still challenges, because they influence the performance of facial recognition systems and motivate the development of more reliable recognition systems that deal with these problems. In this paper, we describe the Multi-Scale Local Mapped Pattern (MSLMP) applied for facial recognition. Techniques based on genetic algorithms and image processing were applied to increase the performance of the method. The obtained results reach up to 100% of accuracy for some face Database. A very difficult database to deal is the MUCT database which was created in 2010 with the aim of providing images with a high variation of lighting, age, positions, and ethnicities in the facial biometry literature, which makes it a highly difficult database in relation to automated recognition. A new processing technique was developed based on the average gray levels of the images of the database for deal with difficult databases like MUCT. The results obtained with our techniques for MUCT database are superior to results obtained for recognition techniques applied to this database available in the literature.

关键词： Facial Recognition Local Mapped Pattern Evolutionary algorithms Pattern Recognition Biometric systems

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Real-Time Parallel Computing Design for Implementation of Point/Small Target Detection Algorithm in visible/Infra-Red video 5

Real-Time Parallel Computing Design for Implementation of Po...

引用

5th IEEE International conference on Parallel, Distributed and Grid Computing (PDGC)

作者： Saran, Ram Kumar, Avnish Srivastava, Hari Babu Minist Def Instruments Res & Dev Estab DRDO Raipur Rd Dehra Dun 248008 India Minist Def DRDO Laser Sci & Technol Ctr LASTEC Metcalfe House Delhi 110054 India

ISBN: (纸本)9781728106465

Aerial targets such as missiles and aircrafts at far distance projected on image plane as point or small targets in infra-red and visible video. These targets lack apriori information about target dynamic, shape and size. Detection and tracking of such targets has been reported challenging task Hence, point or small size target detection algorithms become focus of long range detection and tracking systems. Generally, pre-processing is carried out on the input frame to predict the background and consequently enhance the target signature. In some scenario, post-processing algorithms are also required to reduce the false alarms. In this paper, we propose an efficient and innovative scheme for real-time implementation of point or small size target detection algorithm on PowerPC Single-Board Computer (SBC) by utilizing the parallel computing feature of AltiVec vector processing unit to achieve real-time processing. Results demonstrate the real-time processing of video with hardware results matching the simulation results.

关键词： Parallel processing Long Range Target Detection Mathematical Morphology AltiVec Vector Processor Pre-processing Post-processing

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Real-time image Registration with Region Matching 13

Real-time Image Registration with Region Matching

引用

13th International Joint conference on Computer vision, Imaging and Computer Graphics Theory and Applications (viSIGRAPP) / International conference on Computer vision Theory and Applications (viSAPP)

作者： Beumier, Charles Neyt, Xavier Royal Mil Acad Signal & Image Ctr Ave Renaissance 30 B-1000 Brussels Belgium

ISBN: (纸本)9789897583063

image registration, the task of aligning two images, is a fundamental operation for applications like image stitching or image comparison. In our project in surveillance for route clearance operations, a drone will be used to detect suspicious people and vehicles. This paper presents an approach for real-time image alignment of video images acquired by a moving camera. The high correlation between successive images allows for relatively simple algorithms. We considered region segmentation as an alternative to the more classical corner or interest point detectors and evaluated the appropriateness of connected component labeling with a connectivity defined by the gray-level similarity between neighboring pixels. Real-time processing is intended thanks to a very fast segment-based (as opposed to pixel-based) connected component labeling. The regions, even if not always pleasing the human eye, proved stable enough to be linked across images by trivial features such as the area and the centroid. The vector shifts between matching regions were filtered and modeled by an affine transform. The paper discusses the execution time obtained by this feasibility study for all the steps needed for image registration and indicates the planned improvements to achieve real-time.

关键词： image Registration Region Segmentation Connected Component Labeling Region Descriptors

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Imaging with Phasor Fields for non-line-of sight applications

Imaging with Phasor Fields for non-line-of sight application...

引用

Computational Optical Sensing and Imaging, COSI 2018

作者： Reza, Syed Azer La Manna, Marco Velten, Andreas Department of Biostatistics and Medical Informatics University of Wisconsin-Madison 1300 University Avenue MadisonWI53706 United States

A mathematical construct 'Phasor Fields' (P-Fields) is used to develop a light transport mathematical model for non-line-of-sight (NLOS) imaging applications. We show that NLOS imaging can be treated as conven... 详细信息

ISBN: (纸本)9781943580446

关键词： image processing Imaging systems Light propagation Reconstruction algorithms systems design Transmission coefficient

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Solder Void Detection of Bottom Terminated Components on Printed Circuit Board for Low-Resolution X-Ray images 26

Solder Void Detection of Bottom Terminated Components on Pri...

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26th IEEE Signal processing and Communications Applications conference (SIU)

作者： Guney, Arda Bayraktar, Murat Ozcan, Muhammet VLE Elekt Otomotiv San & Tic AS TOSB Otomotiv Yan Sanayi Ihtisas Org San Bol 2 Cadde 12 TR-41420 Cayirova Kocaeli Turkey

ISBN: (纸本)9781538615010

Bottom terminated circuit components with their low cost, improved signal speeds and good thermal performances have made the use of these elements increasingly widespread in recent years. However, in the post assembly inspection of these components solder voids can be encountered at a level of effecting the functionality and reliability of the board. It is difficult to detect solder voids manually by visual inspection;therefore x-ray systems have to be used for the detection of solder voids. Solder voids can not be accurately detected with the software on some existing low resolution x-ray control system, a manual adjustment was required on the received images. In this study;images received from low resolution x-ray device were processed with the help of various image processing algorithms and a graphical user interface program that allows automotic detection of different tyoes of solder voids was created. The work has been proven by using real x-ray images, which yield more accurate results than the existing x-ray software.

关键词： solder void x-ray SMD component printed circuit board bottom terminated component image processing

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