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Fusion of Visual and Thermal Signatures with Eyeglass Removal for Robust Face Recognition

Fusion of Visual and Thermal Signatures with Eyeglass Remova...

引用

IEEE computer Society Conference on computer Vision and Pattern Recognition Workshops (CVPRW)

作者： Jingu Heo S.G. Kong B.R. Abidi M.A. Abidi Imaging Robotics and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Tennessee Knoxville TN USA

This paper describes a fusion of visual and thermal infrared (IR) images for robust face recognition. Two types of fusion methods are discussed: data fusion and decision fusion. Data fusion produces an illumination-invariant face image by adaptively integrating registered visual and thermal face images. Decision fusion combines matching scores of individual face recognition modules. In the data fusion process, eyeglasses, which block thermal energy, are detected from thermal images and replaced with an eye template. Three fusion-based face recognition techniques are implemented and tested: Data fusion of visual and thermal images (Df), Decision fusion with highest matching score (Fh), and Decision fusion with average matching score (Fa). A commercial face recognition software FaceIt® is used as an individual recognition module. Comparison results show that fusion-based face recognition techniques outperformed individual visual and thermal face recognizers under illumination variations and facial expressions.

关键词： Robustness Face recognition Face detection Lighting Optical imaging intelligent robots Infrared imaging Pattern recognition computer vision Temperature

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Fusion of visual, thermal, and range as a solution to illumination and pose restrictions in face recognition

Fusion of visual, thermal, and range as a solution to illumi...

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International Carnahan Conference on Security Technology

作者： B. Abidi S. Huq M. Abidi Imaging Robotics and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Tennessee Knoxville TN USA

This paper summarizes the various components of face recognition research conducted at the IRIS Lab. First, fusion of visual and thermal infrared (IR) images for robust face recognition is discussed. Two techniques are implemented: data fusion and decision fusion. With the knowledge that eyeglasses block the emission of thermal energy, an algorithm is designed to detect and replace eyeglasses with an eye template in thermal images. A commercial face recognition software (FaceIt/spl reg/) is used in the evaluation of the various fusion algorithms. Comparison results show that fusion-based face recognition outperforms individual visual or thermal face recognizers under illumination variations and facial expressions. Efforts in the 3D arena are also described. Results of high resolution stereo-based 3D reconstruction of faces are shown and analyzed, in a first approach, then in a second approach, a warping technique is applied to overlay color and thermal textures on 3D mannequin head models, obtained using a laser range scanner.

关键词： Lighting Face recognition Face detection Iris Infrared imaging Robustness Algorithm design and analysis Software algorithms Image reconstruction Image color analysis

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Neural gain scheduling multiobjective genetic fuzzy PI control

Neural gain scheduling multiobjective genetic fuzzy PI contr...

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Proceedings of the 2004 IEEE International Symposium on intelligent Control - 2004 ISIC

作者： Bottura, Celso Pascoli De Oliveira Serra, Ginalber Luiz Control and Intelligent Systems Laboratory School of Electrical and Computer Engineering State University of Campinas 400 Cid. Univ. Zeferino Vaz 13083-970 Campinas-SP Brazil

This work proposes a gain scheduling adaptive control scheme based on fuzzy systems, neural networks and genetic algorithms for nonlinear plants. A fuzzy PI controller is developed, which is a discrete time version of a conventional one. Its data base as well as the constant PI control gains are optimally designed by using a genetic algorithm for simultaneously satisfying the following specifications: overshoot and settling time minimizations and output response smoothing. Hence, the optimization problem is a multiobjective one, from which results an optimal fuzzy PI controller. A neural gain scheduler is designed, by the backpropagation algorithm, to tune the optimal parameters of the fuzzy PI controller at some operating points. Simulation results are shown to demonstrate the efficiency of the proposed structure for a DC servomotor adaptive speed control system used as an actuator of robotic manipulators. ©2004 IEEE.

关键词： Fuzzy control

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Fovea based coding for video streaming 1

引用

International Conference on Image Analysis and Recognition, ICIAR 2004

作者： Dikici, Çağatay Bozma, H Isıl Civanlar, Reha Intelligent Systems Laboratory Electrical and Electronics Engineering Department Boğaziç University IstanbulBebek34342 Turkey Computer Engineering Department Koç University Istanbul34450 Turkey

ISBN: (数字)9783540301257

ISBN: (纸本)3540232230

Attentive robots, inspired by human-like vision – are required to have visual systems with fovea-periphery distinction and saccadic motion capability. Thus, each frame in the incoming image sequence has nonuniform sampling and consecutive saccadic images have temporal redundancy. In this paper, we propose a novel video coding and streaming algorithm for low bandwidth networks that exploits these two features simultaneously. Our experimental results reveal improved video streaming in applications like robotic teleoperation. Furthermore, since the algorithm employs the Gaussian-like resolution of human visual system and is extremely simple to integrate with the standard coding schemes, it can also be used in applications such as cellular phones with video. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Video streaming

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Localization of simultaneous moving sound sources for mobile robot using a frequency- domain steered beamformer approach

Localization of simultaneous moving sound sources for mobile...

引用

IEEE International Conference on robotics and Automation (ICRA)

作者： J.-M. Valin F. Michaud B. Hadjou J. Rouat LABORIUS-Research Laboratory on Mobile Robotics and Intelligent Systems Department of Electrical Engineering and Computer Engineering Université de Sherbrook Sherbrooke QUE Canada

Mobile robots in real-life settings would benefit from being able to localize sound sources. Such a capability can nicely complement vision to help localize a person or an interesting event in the environment, and also to provide enhanced processing for other capabilities such as speech recognition. We present a robust sound source localization method in three-dimensional space using an array of 8 microphones. The method is based on a frequency-domain implementation of a steered beamformer along with a probabilistic post-processor. Results show that a mobile robot can localize in real time multiple moving sources of different types over a range of 5 meters with a response time of 200 ms.

关键词： Mobile robots Auditory system Orbital robotics intelligent robots Head Acoustic noise Humans Robustness Microphone arrays Signal processing

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Enhanced robot audition based on microphone array source separation with post-filter

Enhanced robot audition based on microphone array source sep...

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IEEE International Workshop on intelligent Robots and systems (IROS)

作者： J.-M. Valin J. Rouat F. Michaud Department of Electrical Engineering and Computer Engineering LABORIUS-Research Laboratory on Mobile Robotics and Intelligent Systems Université de Sherbrook Sherbrooke QUE Canada

We propose a system that gives a mobile robot the ability to separate simultaneous sound sources. A microphone array is used along with a real-time dedicated implementation of geometric source separation and a post-filter that gives us a further reduction of interferences from other sources. We present results and comparisons for separation of multiple non-stationary speech sources combined with noise sources. The main advantage of our approach for mobile robots resides in the fact that both the frequency domain geometric source separation algorithm and the post-filter are able to adapt rapidly to new sources and non-stationarity. Separation results are presented for three simultaneous interfering speakers in the presence of noise. A reduction of log spectral distortion (LSD) and increase of signal-to-noise ratio (SNR) of approximately 10 dB and 14 dB are observed.

关键词： Microphone arrays Source separation Mobile robots Acoustic noise Auditory system Humans intelligent robots Interference Robot sensing systems Mobile computing

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Fuzzy automata for fault diagnosis: A syntactic analysis approach

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3rd Hellenic Conference on Artificial Intelligence, SETN 2004

作者： Rigatos, Gerasimos G. Tzafestas, Spyros G Industrial Systems Institute University Campus of Patras Building A ’ Rion Patras26500 Greece National Technical University of Athens Dept. of Electrical and Computer Engineering Intelligent Robotics and Automation Lab Zografou Campus Athens15773 Greece

ISBN: (纸本)3540219374

Fuzzy automata are proposed for fault diagnosis. The output of the monitored system is partitioned into linear segments which are assigned to pattern classes (templates) with the use of fuzzy membership functions. A sequence of templates is generated and becomes input to fuzzy automata which have transitions that correspond to the templates of the properly functioning system. If the automata reach their final states, i.e. the input sequence is accepted by the automata with a membership degree that exceeds a certain threshold, then normal operation is deduced, otherwise, a failure is diagnosed. Fault diagnosis of a DC motor and detection of abnormalities in the ECG signal are used as case studies. © Springer-Verlag Berlin Heidelberg 2004.

关键词： DC motors

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Toward multimodal human-robot cooperation and collaboration

Toward multimodal human-robot cooperation and collaboration

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Collection of Technical Papers - AIAA 1st intelligent systems Technical Conference

作者： Perzanowski, Dennis Brock, Derek Bugajska, Magdalena Thomas, Scott Sofge, Donald Adams, William Skubic, Marjorie Blisard, Sam Cassimatis, Nicholas Trafton, J. Gregory Schultz, Alan C. Naval Research Laboratory Washington DC 20375 University of Missouri Columbia MO 65211 Rensselaer Polytechnic Institute Troy NY 12180 Intelligent Multimodal/Multimedia Systems Code 5512 Interface Design and Evaluation Code 5513 Intelligent Systems Code 5515 Electrical and Computer Engineering Department Department of Cognitive Science

ISBN: (纸本)156347719X

Our multimodal interface integrates speech recognition, natural language understanding, spatial reasoning and human cognitive models for completing specific tasks and for perspective-taking in locative oriented tasks. With natural language and gestures, we believe human-robot interaction and communication is facilitated. Instead of concentrating on the various modalities of the interface, users can concentrate on the task at hand. Likewise, by incorporating human cognitive models for handling spatial information and perspective-taking, as well as for specific task completion, a better match with the expectations that humans acquire from their human-human interactions should be obtained, further facilitating cooperation and collaboration in human-robot interactions.

关键词： Speech recognition

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Effects of quantization, saturation, and sampling time in multi output systems

Effects of quantization, saturation, and sampling time in mu...

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IEEE Conference on Decision and Control

作者： R. Sandoval-Rodriguez C.T. Abdallah R.H. Byrne Electrical & Computer Engineering Department Faculty of Electrical Engineering and Computing Albuquerque NM USA Sandia National Laboratories Intelligent Systems and Robotics Center Albuquerque NM USA

ISBN: (纸本)0780386825

We analyze the effects of sampling and quantization in the states of the plant, and the saturation of the control signal, on the behaviors of closed-loop systems. We present graphical and analytical tools to determine the minimum number of bits in the A/D converters, and the maximum sampling time to ensure stability of closed-loop LTI single input multiple output systems.

关键词： Quantization Sampling methods Control systems Communication system control Signal resolution State feedback intelligent robots Signal analysis Communication networks Chaos

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An intelligent system for Aerial image Retrieval and Classification

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3rd Hellenic Conference on Artificial Intelligence, SETN 2004

作者： Gasteratos, Antonios Zafeiridis, Panagiotis Andreadis, Ioannis Laboratory of Robotics and Automation Section of Production Systems Department of Production and Management Engineering Democritus University of Thrace Building of University’s Library Kimmeria XanthiGR-671 00 Greece Laboratory of Electronics Section of Electronics and Information Systems Technology Department of Electrical and Computer Engineering Democritus University of Thrace Vassilisis Sophias 12 XanthiGR-671 00 Greece

ISBN: (纸本)3540219374

Content based image retrieval is an active research area of pattern recognition. A new method of extracting global texture energy descriptors is proposed and it is combined with features describing the color aspect of texture, suitable for image retrieval. The same features are also used for image classification, by its semantic content. An exemplar fuzzy system for aerial image retrieval and classification is proposed. The fuzzy system calculates the degree that a class, such as sea, clouds, desert, forests and plantations, participates in the input image. Target applications include remote sensing, computer vision, forestry, fishery, agricultures, oceanography and weather forecasting. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Fuzzy systems

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