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Optics, Photonics, and Digital Technologies for Multimedia Applications III

作者： Besrour, Amine Snoussi, Hichem Siala, Mohamed Abdelkefi, Fatma Carthage Univ Higher Sch Commun Tunis Supcom MEDIATRON Lab Tunis Tunisia Univ Technol Troyes LM2S Lab Troyes France

ISBN: (纸本)9781628410860

High Dynamic Range (HDR) imaging has been the subject of significant researches over the past years, the goal of acquiring the best cinema-quality HDR images of fast-moving scenes using an efficient merging algorithm has not yet been achieved. In fact, through the years, many efficient algorithms have been implemented and developed. However, they are not yet efficient since they don't treat all the situations and they have not enough speed to ensure fast HDR image reconstitution. In this paper, we will present a full comparative analyze and study of the available fusion algorithms Also, we will implement our personal algorithm which can be more optimized and faster than the existed ones. We will also present our investigated algorithm that has the advantage to be more optimized than the existing ones. This merging algorithm is related to our hardware solution allowing us to obtain four pictures with different exposures.

关键词： High Dynamic Range HDR Image fusion fusion algorithm high-definition image

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A New Method of Tracking Motion Human Based on Multiple Pyroelectric Sensors

A New Method of Tracking Motion Human Based on Multiple Pyro...

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2016工程技术创新国际会议

作者： Hui Zeng Xueming Hu Nan Zhang Ji Xiong Wuhan Maritime Communication Research Institute School of Information Engineering Wuhan Technology and Business University

Pyroelectric infrared（PIR） sensor is low–cost, low-power small component commonly used only to trigger alarm in presence of humans or moving objects. PIR sensors are widely used as a simple, but reliable. In this paper, we present a novel pyroelectric sensor node, feature extraction method and human pyroelectric information fusion method to identify direction of multi-human motion, number of people passing and distance between the PIR sensor and people in an array of pyroelectric sensors. The pyroelectric sensor node is composed of two kinds of pyroelectric sensor modules. Each module has different function, so we can fuse the different function to accurately track human target. The approach has low computational requirement, so it is well-suited for limited-resources devices. Through the experiment, we can get the correct detection rate of the direction and number of people is more than 100%, the correct identification rate of the path is more than 78%.

关键词： pyroelectric infrared（PIR） sensor human detection direction detection distance identification fusion algorithm

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algorithm selective method of infrared/visual image fusion system based on air humidity

Algorithm selective method of infrared/visual image fusion s...

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International Conference on Frontiers in Optical Imaging Technology and Application

作者： Sun Bin Zhang Junju Chang Benkang Min Chaobo Li Yingjie Sch Elect Engn & Optoelect Technol Nanjing 210094 Jiangsu Peoples R China

ISBN: (纸本)9781628410938

To find out the best infrared and visible fusion system of fusion algorithm which has excellent target detection characteristics in different environment, we proposed a new fusion algorithm selective rule. We also defined new concepts: fusion algorithm coefficient and the equivalent transmissivity of system. Using local-target contrast, local-target articulation to calculate fusion algorithm coefficient, we can estimate the target detection performance of fusion system when it working in different air humidity environment. Also, we make use of infrared and visible fusion system designed by ourselves to verify this method. Besides fusion algorithm coefficient, we also use subjective evaluation to evaluate the target detection performance of fusion algorithm. At last, the best algorithm or the method which is most consistent with human visual in different conditions were found. Through this work, we can provide the basis for the algorithm of choice in the fusion system.

关键词： target detection image fusion air humidity fusion algorithm

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DESIGNING A BIO-CAPSULE SECURE AUTHENTICATION SYSTEM

DESIGNING A BIO-CAPSULE SECURE AUTHENTICATION SYSTEM

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International Conference on Computing and Communications Technologies ((ICCCT)

作者： Logeshwari, R. Karthikayani, K. Sindhuja, A. Ashok, D. SRM Univ Dept Comp Sci Madras Tamil Nadu India Prathyusha Inst Technol & Management Dept Informat Technol Thiruvallur Tamil Nadu India

ISBN: (纸本)9781479976232

In this modern world, especially on the Internet, user might have more and more usernames or IDs and passwords, which contains his/her private information. There are too many for a user to remember and it is unsafe to write them down on the notebook. To solve this problem, this paper proposes a novel design of User data Management System (UMS), by which user can manage his/her private information's efficiently. With the fast evolution in sensor technology biometric authentication system becomes more popular in daily lives. The biometrics is improving the capability to recognize the persons. The construction of Bio-Capsule from biometrics is used generally to secure the system. The biometrics used in this paper is fingerprint and iris. These two features are combined with the help of fusion algorithm. From the combined features, Bio-Capsule is generated which used for authenticating User data Management Systems.

关键词： Biometrics Bio-Capsule Generation Minutiae Points Morphological operation Histogram Equalization Weiner filtering fusion algorithm

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Using Kinect for real-time emotion recognition via facial expressions

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Frontiers of Information Technology & Electronic Engineering 2015年第4期16卷 272-282页

作者： Qi-rong MAO Xin-yu PAN Yong-zhao ZHAN Xiang-jun SHEN Department of Computer Science and Communication Engineering Jiangsu University

Emotion recognition via facial expressions （ERFE） has attracted a great deal of interest with recent advances in artificial intelligence and pattern recognition. Most studies are based on 2D images, and their performance is usually computationally expensive. In this paper, we propose a real-time emotion recognition approach based on both 2D and 3D facial expression features captured by Kinect sensors. To capture the deformation of the 3D mesh during facial expression, we combine the features of animation units （AUs） and feature point positions （FPPs） tracked by Kinect. A fusion algorithm based on improved emotional profiles （IEPs） arid maximum confidence is proposed to recognize emotions with these real-time facial expression features. Experiments on both an emotion dataset and a real-time video show the superior performance of our method.

关键词： Kinect Emotion recognition Facial expression Real-time classification fusion algorithm Supportvector machine （SVM）

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A Multimodality Medical Image fusion algorithm Based on Wavelet Transform

A Multimodality Medical Image Fusion Algorithm Based on Wave...

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1st International Conference on Swarm Intelligence

作者： Teng, Jionghua Wang, Xue Zhang, Jingzhou Wang, Suhuan Huo, Pengfei Northwestern Polytech Univ Coll Automat Xian 710072 Peoples R China

ISBN: (纸本)9783642134975

According to the characteristics of a medical image, this paper presents a multimodality medical image fusion algorithm based on wavelet transform. For the low-frequency coefficients of the medical image, the fusion algorithm adopts the fusion rule of pixel absolute value maximization;for the high-frequency coefficients, the fusion algorithm uses the fusion rule that combines the regional information entropy contrast degree selection with the weighted averaging method. Then the fusion algorithm obtains the fused medical image with inverse wavelet transform. We select two groups of CT/MRI images and PET/ MRI images to simulate our fusion algorithm and compare its simulation results with the commonly-used wavelet transform fusion algorithm. The simulation results show that our fusion algorithm cannot only preserve more information on a source medical image but also greatly enhance the characteristic and brightness information of a fused medical image, thus being an effective and feasible medical image fusion algorithm.

关键词： Medical image fusion algorithm Wavelet transform Regional information entropy

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Analytic Intermodel Consistent Modeling of Volumetric Human Lung Dynamics

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JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME 2015年第10期137卷 101005-101005页

作者： Ilegbusi, Olusegun Seyfi, Behnaz Neylon, John Santhanam, Anand P. Univ Cent Florida Dept Mech & Aerosp Engn Orlando FL 32826 USA Univ Calif Los Angeles Dept Radiat Oncol Los Angeles CA 90095 USA

Human lung undergoes breathing-induced deformation in the form of inhalation and exhalation. Modeling the dynamics is numerically complicated by the lack of information on lung elastic behavior and fluid-structure interactions between air and the tissue. A mathematical method is developed to integrate deformation results from a deformable image registration (DIR) and physics-based modeling approaches in order to represent consistent volumetric lung dynamics. The computational fluid dynamics (CFD) simulation assumes the lung is a poro-elastic medium with spatially distributed elastic property. Simulation is performed on a 3D lung geometry reconstructed from four-dimensional computed tomography (4DCT) dataset of a human subject. The heterogeneous Young's modulus (YM) is estimated from a linear elastic deformation model with the same lung geometry and 4D lung DIR. The deformation obtained from the CFD is then coupled with the displacement obtained from the 4D lung DIR by means of the Tikhonov regularization (TR) algorithm. The numerical results include 4DCT registration, CFD, and optimal displacement data which collectively provide consistent estimate of the volumetric lung dynamics. The fusion method is validated by comparing the optimal displacement with the results obtained from the 4DCT registration.

关键词： lung displacement fusion algorithm Tikhonov regularization poro-elastic medium flow-structure interaction (FSI)

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Position and Speed fusion algorithm in Underwater Towed System

Position and Speed Fusion Algorithm in Underwater Towed Syst...

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2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

作者： Chen Mu-qing Xu Jiang-ning Liu Qiang Wang Jie Department of Navigation Engineering Naval University of Engineering Wuhan China

Navigation and positioning system is one of critical subsystems of Synthetic Aperture Sonar (SAS). Based on the Dead Reckoning (DR) navigation and positioning system composed of Fiber-Optic Gyrocompass (IXSEA:OCTANS ) and Acoustic Doppler Log (ADL), fusion algorithm which utilize parts of heave compensation outputs of OCTANS and four speed sensor outputs of ADL is provided, available environment of the fusion algorithm is also provided. The simulation results showed that the fusion algorithm is more precise than the common DR algorithm and singer heave compensation outputs from OCTANS.

关键词： heave compensation fusion algorithm adaptive Kalman filter

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A Sonar Image Mosaicing algorithm based on Improved SIFT for USV

A Sonar Image Mosaicing Algorithm based on Improved SIFT for...

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11th IEEE International Conference on Mechatronics and Automation (ICMA)

作者： Li, Hengyu Dong, Yi He, Xudong Xie, Shaorong Luo, Jun Shanghai Univ Sch Mechatron Engn & Automat Shanghai 200072 Peoples R China Shanghai Univ Shanghai Key Lab Intelligent Mfg & Robot Shanghai 200072 Peoples R China

ISBN: (纸本)9781479939794

As the USV (Unmanned Surface Vehicles) works in offshore waters whose operating environment is complex, sonar images obtained are low-resolution, noisy and narrow overlap region, and ultimately led to the sonar image cannot be stitched or get a serious distortion after image mosaicing. In response to these problems, this paper proposes a sonar image mosaicing algorithm based on improved SIFT for USV. For sonar image registration, we applies RANSAC (RANdom Sample Consensus) algorithm to check feature points to improve the accuracy of image registration. For the problem that the distribution of original image brightness is different, this paper conducts brightness normalization algorithms for brightness adjustment. To avoid empty points in stitched image and the problem that mapping coordinates may not be an integer, this paper respectively take inverse mapping method and image interpolation algorithm to solve the problem. In order to improve the sonar image borders and edge fusion effect, this paper proposes a weighted fusion algorithm based on threshold and edge. Finally, the experiments show that the algorithm has a certain practicality.

关键词： Sonar image mosaicing SIFT Underwater monitoring system fusion algorithm

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Fusing Binary Particle Swarm Optimzation with Simulated Annealing for Knapsack Problems 9

Fusing Binary Particle Swarm Optimzation with Simulated Anne...

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9th IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Anantathanavit, Mana Munlin, Mud-Armeen Mahanakorn Univ Technol Fac Informat Sci & Technol Bangkok Thailand

ISBN: (纸本)9781479943159

The Knapsack Problems (KPs) is a well-known combinatorial optimization problem. It has a variety of practical applications. We propose the algorithm to solve both 0-1 Knapsack problem (KP) and Multidimensional Knapsack Problem (MKP) by fusing the Binary Particle Swarm Optimization (BPSO) and Simulated Annealing (SA) with maximum profit objective. The main contribution is to develop a novel approach by hybridizing BPSO at the local optimum with the simulated annealing to help escape from the local optimum to reach the global optimum. The results indicate that the fusion approach outperforms individual implementation of both binary particle swarm optimization and simulated annealing.

关键词： Knapsack Problem(KP) Binaray Particle Swarm Optimzation(BPSO) Simulated Annelling(SA) fusion algorithm

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