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Appearance model based moving object matching across disjoint camera views

2nd International Conference on Opto-Electronics Engineering and Materials Research, OEMR 2013

作者： Yu, Kong Shuai Hu, Dong Education Ministry's Key Lab of Broadband Wireless Communication and Sensor Network Technology The key lab of image processing and image communications of Jiangsu Province Nanjing University of Posts and Telecom Nanjing 210003 China

ISBN: (纸本)9783037857731

A new object tracking scheme for multi-camera surveillance with non-overlapping views is proposed in this paper. Brightness transfer function (BTF) is used to establish relative appearance correspondence between different views. Mixtures of probabilistic principal component analysis (MPPCA) is incooperated to learn the subspace of brightness transfer function with the concern to deal with multiple different brightness areas in a scene. The incremental major color spectrum histogram (IMCSH) is used as similarity measure for reliable matching. Experimental results with real world videos show the effectiveness of the proposed algorithm. © (2013) Trans Tech Publications, Switzerland.

关键词： Luminance

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Radiation Effects in Pinned Photodiode CMOS image sensors: Pixel Performance Degradation Due to Total Ionizing Dose

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IEEE TRANSACTIONS ON NUCLEAR SCIENCE 2012年第6期59卷 2878-2887页

作者： Goiffon, Vincent Estribeau, Magali Marcelot, Olivier Cervantes, Paola Magnan, Pierre Gaillardin, Marc Virmontois, Cedric Martin-Gonthier, Philippe Molina, Romain Corbiere, Franck Girard, Sylvain Paillet, Philippe Marcandella, Claude Univ Toulouse Image Sensor Res Team ISAE F-31055 Toulouse France DIF DAM CEA F-91297 Arpajon France Univ St Etienne UMR CNRS 5516 Lab H Curien St Etienne France

Several Pinned Photodiode (PPD) CMOS image sensors (CIS) are designed, manufactured, characterized and exposed biased to ionizing radiation up to 10 kGy(SiO2). In addition to the usually reported dark current increase and quantum efficiency drop at short wavelengths, several original radiation effects are shown: an increase of the pinning voltage, a decrease of the buried photodiode full well capacity, a large change in charge transfer efficiency, the creation of a large number of Total Ionizing Dose (TID) induced Dark Current Random Telegraph Signal (DC-RTS) centers active in the photodiode (even when the Transfer Gate (TG) is accumulated) and the complete depletion of the Pre-Metal Dielectric (PMD) interface at the highest TID leading to a large dark current and the loss of control of the TG on the dark current. The proposed mechanisms at the origin of these degradations are discussed. It is also demonstrated that biasing (i.e., operating) the PPD CIS during irradiation does not enhance the degradations compared to sensors grounded during irradiation.

关键词： Active pixel sensors CMOS image sensors Dark current Interface states Ionizing radiation Radiation effects Radiation hardening trapped charge 4T pixel active pixel sensor APS buried photodiode charge transfer CMOS image sensor (CIS) dark current deep submicron process DSM interface states ionizing radiation MAPS monolithic active pixel sensor photon transfer curve (PTC) pinned photodiode (PPD) pinning voltage pre-metal dielectrics (PMD) quantum efficiency radiation hardening RHBD shallow trench isolation (STI) total ionizing dose (TID)

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A camera self-calibration method based on dual constraints of multi-view images

A camera self-calibration method based on dual constraints o...

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2011 International Conference on Wireless Communications and Signal Processing, WCSP 2011

作者： Liu, Feng Han, Weiwei Xu, Qiong Lin, Qiongjie Fan, Jingjing Image Processing and Image Communication Jiangsu Key Laboratory Nanjing China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781457710100

Camera calibration is the essential step of obtaining 3D information from 2D views in the field of computer vision, which is widely used in the area of 3D reconstruction, navigation, visual supervision, etc. A camera self-calibration method based on dual constraints of multi-view images is proposed to make calibration possible when there is no reference calibration block or the movement of camera is arbitrary. In this method, multi-view images are preprocessed first to select three images which are most suitable for camera self-calibration, then we use the method based on the genetic algorithm, the camera parameters are finally estimated by using epipolar geometry matching error and reprojection error as fitness functions as two steps. Experimental results show that the proposed camera self-calibration method is correct and effective. © 2011 IEEE.

关键词： Genetic algorithms

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Improving optical sorting of bulk materials using sophisticated motion models

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TM-TECHNISCHES MESSEN 2016年第2期83卷 77-84页

作者： Pfaff, Florian Pieper, Christoph Maier, Georg Noack, Benjamin Kruggel-Emden, Harald Gruna, Robin Hanebeck, Uwe D. Wirtz, Siegmar Scherer, Viktor Laengle, Thomas Beyerer, Juergen Karlsruhe Inst Technol Intelligent Sensor Actuator Syst Lab D-76021 Karlsruhe Germany Ruhr Univ Bochum Dept Energy Plant Technol LEAT Bochum Germany Fraunhofer Inst Optron Syst Technol & Image Explo Karlsruhe Germany

Visual properties are powerful features to reliably classify bulk materials, thereby allowing to detect defect or low quality particles. Optical belt sorters are an established technology to sort based on these properties, but they suffer from delays between the simultaneous classification and localization step and the subsequent separation step. Therefore, accurate models to predict the particles' motions are a necessity to bridge this gap. In this paper, we explicate our concept to use sophisticated simulations to derive accurate models and optimize the flow of bulk solids via adjustments of the sorter design. This allows us to improve overall sorting accuracy and cost efficiency. Lastly, initial results are presented.

关键词： Computational fluid dynamics discrete element method multi-object tracking optical sorting

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Mitigation technique for use of CMOS image sensors in megajoule class laser radiative environment

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ELECTRONICS LETTERS 2012年第21期48卷 1338-1339页

作者： Goiffon, V. Girard, S. Paillet, P. Magnan, P. Chabane, A. Rousseau, A. Darbon, S. Cervantes, P. Bourgade, J. L. Univ Toulouse Image Sensor Res Team ISAE Toulouse France CEA DAM DIF F-91297 Arpajon France Univ Jean Mornet Lab H Cuien UMR CNRS 5516 F-42000 St Etienne France

Presented is a new mitigation technique to improve the radiation tolerance of CMOS image sensors to the radiation constraints associated to the fusion by inertial confinement experiments at megajoule class laser facilities. Using the global reset mode, results acquired at the OMEGA facility show the efficiency of this technique to reduce by more than 70% the number of white pixels induced by the mixed 14 MeV neutron and gamma-ray pulse.

关键词： COMPLEMENTARY metal oxide semiconductors image converters RADIATION tolerance PIXELS NEUTRONS CHARGE coupled devices

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Research on moving object detection based on the Bayesian theory

Research on moving object detection based on the Bayesian th...

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作者： Hu, D. Liu, X. Education Ministry's Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications China Jiangsu Province's Key Lab of Image Procession and Image Communications Nanjing University of Posts and Telecommunications China

ISBN: (纸本)9781845648282

For effective and efficient detection of moving objects from complex surveillance scenarios, a novel integrated object detection scheme based on clustering and Bayesian theory is proposed in this paper. The algorithm conducts clustering analysis in the time domain as the pre-segmentation step for later Bayesian judgment processing. Furthermore, temporal differential image was used to classify dynamical and static pixels, which were then used to direct the Bayesian judgment with proper models. The clustering processing reduced the number of the mixture models, which in turn, reduced the computational complexity while ensuring accurate moving object detection. Simulation results show that the proposed scheme well exploited the temporal correlation of the video sequences and the accuracy of the detected objects can be improved by nearly 20% compared to the typical Gaussian mixture modeling algorithm. © 2014 WIT Press.

关键词： Object detection

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Object detection by clustering-based nonparametric kernel density estimation

Object detection by clustering-based nonparametric kernel de...

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作者： Hu, D. Hu, J. Education Ministry's Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications China Jiangsu Province's Key Lab of Image Procession and Image Communications Nanjing University of Posts and Telecommunications China

ISBN: (纸本)9781845648282

Nonparametric model is one of the popular ones for background modeling for its ability to adapt to changes quickly in dynamic environment and enable very sensitive detection of moving objects. However, the method is too complex and computationally inefficient to real-time application. In this paper, a fast and efficient scheme for moving object detection by nonparametric background modeling was proposed, whereas the background was modeled combining clustering theory to eliminate the large amount of redundant information and noise pixels in background modeling stage. Moreover, adaptive background and temporal differencing was used to filter out unchanged background pixels, thus enabling an additional reduction in computational requirements and improving the detection results. Besides, RGB color components were substituted by chromaticity coordinates to suppress shadow effects. Experimental results demonstrated the effectiveness of the proposed algorithm. © 2014 WIT Press.

关键词： Object detection

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Silicon-on-Insulator Technology for Bioluminescence Imaging and Application to a Switching Photodetector 22

Silicon-on-Insulator Technology for Bioluminescence Imaging ...

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22nd International Conference on Mixed Design of Integrated Circuits & Systems (MIXDES)

作者： Sallin, Denis Abdo, Nisrina Koukab, Adil Estribeau, Magali Magnan, Pierre Kayal, Maher Ecole Polytech Fed Lausanne Inst Elect Engn CH-1015 Lausanne Switzerland ISAE SUPAERO Integrated Image Sensor Lab F-31055 Toulouse 4 France

ISBN: (纸本)9788363578060

This paper analyzes some advantages of Silicon-on-Insulator (SOI) based photodetectors for bioluminescence imaging. It shows that SOI based sensors not only solve the bulk carriers problem, it can also act as a very selective spectral filter by acting as a resonant cavity, which is useful in application with a very narrow spectrum of interest, such as bioluminescence imaging. Then, the authors discuss the application of those findings and the electrical advantages of SOI for a new kind of switching photodetector, the Hybrid MOS-PN device and their advantages in terms of dark current minimization.

关键词： Silicon Photodetector SOI Bioluminescence

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An Improved image Dehazing Algorithm Based on Dark Channel Prior

An Improved Image Dehazing Algorithm Based on Dark Channel P...

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IEEE Workshop on Advanced Research and Technology in Industry Applications (WARTIA)

作者： Liu, Jiajie Zheng, Jieying Cui, Ziguan Tang, Guijin Liu, Feng Nanjing Univ Posts & Telecommun Jiangsu Prov Key Lab Image Proc & Image Commun Nanjing Jiangsu Peoples R China Nanjing Univ Posts & Telecommun Minist Educ Key Lab Broadband Wireless Commun & Sensor Networ Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781479969890

image dehazing algorithm based on dark channel prior has been proved to be effective, but it cannot still guarantee accurate transmission. To solve this problem, we firstly propose a more reasonable estimation of atmospheric light, because bias in the atmospheric light estimation will cause an inaccurate transmission. Secondly, we improve the estimation of transmission in bright area so as to alleviate color distortion. After image recovery, we carry out denoising to improve the image quality. Finally, we use a blind image quality assessment method based on property of Human Visual System, and the experimental results show that this improved algorithm is more effective.

关键词： dark channel prior global atmospheric light transmission blind image quality assessment method

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Outdoor Camera Calibration Method Using GPS Coordinate Based on Two-stage Optimization

Outdoor Camera Calibration Method Using GPS Coordinate Based...

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4th International Conference on image Analysis and Signal Processing (IASP)

作者： Shi Yujie Hu Dong Nanjing Univ Posts & Telecommun Key Lab Image Proc & Transmiss Jiangsu Prov Educ Minist Key Lab Broadband Wireless Commun & Sensor Networ Nanjing 210003 Jiangsu Peoples R China

ISBN: (纸本)9781467325455

Camera calibration is a very important and necessary step in computer vision, especially in 3D reconstruction, target tracking and positioning. In this paper, a GPS coordinate is first introduced and incorporated into Tsai two-step camera calibration method. Owing to the limitation of the accuracy of GPS receivers at present, there's a relatively large error in camera calibration parameters. A hybrid optimization algorithm (GA-PSO) by combining a genetic algorithm and particle swarm optimization is proposed further to improve camera parameters. Experimental results prove that our method is feasible and efficient.

关键词： camera calibration GPS coordinate GA-PSO optimization Locating Error (LE)

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