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Complete system for head tracking using motion-based particle filter and randomly perturbed active contour

by N. Bouaynaya, D. Schonfeld - in Proceedings oj SPIE,Image and Video Communications and Processing, March 2005
"... Many real world applications in computer and multimedia such as augmented reality and environmental imaging require an elastic accurate contour around a tracked object. In the first part of the paper we introduce a novel tracking algorithm that combines a motion estimation technique with the Bayesia ..."
Abstract - Cited by 9 (3 self) - Add to MetaCart
with the Bayesian Importance Sampling framework. We use Adaptive Block Matching (ABM) as the motion estimation technique. We construct the proposal density from the estimated motion vector. The resulting algorithm requires a small number of particles for efficient tracking. The tracking is adaptive to different

State estimation in hybrid systems with a bounded number of mode transitions

by Daniel Sigalov, Yaakov Oshman - in Proc. Fusion 2010, 13th International Conference on Information Fusion , 2010
"... Abstract – We consider the problem of tracking the state of a hybrid system capable of performing a bounded number of mode switches. The system is assumed to follow either a nominal or an anomalous model, where the nominal model may stand for, e.g., the non-maneuvering motion regime of a target or t ..."
Abstract - Cited by 5 (5 self) - Add to MetaCart
Abstract – We consider the problem of tracking the state of a hybrid system capable of performing a bounded number of mode switches. The system is assumed to follow either a nominal or an anomalous model, where the nominal model may stand for, e.g., the non-maneuvering motion regime of a target

A Hybrid Adaptive Scheme of Fuzzy-Neural Iterative Learning Controller for Nonlinear Dynamic Systems ∗

by Y. -c. Wang, C. -j. Chien, D. -t. Lee
"... Key words: Iterative learning control; adaptive control; initial state errors; fuzzy neural network; nonlinear plants To deal with an iterative learning control (ILC) problem of unknown nonlinear systems with initial state errors and state dependent input gain, a hybrid adaptive scheme of fuzzy neur ..."
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based on the above error function. This hybrid learning controller combines the features of an indirect and a direct adaptive learning control such that the tradeoff between plant knowledge and control knowledge can be realized by adjusting a weighting factor. As in general the nonlinearities

Proceedings of the World Congress on Nature and Biologically Inspired Computing (NaBIC2010) An Adaptive Mutation Operator for Artificial Immune Network Using Learning Automata in Dynamic Environments

by Alireza Rezvanian, Mohammad Reza Meybodi
"... Abstract—Many real world problems are mostly time varying optimization problems, which require special mechanisms for detection changes in environment and then response to them. This paper proposes a hybrid optimization method based on learning automata and artificial immune network for dynamic envi ..."
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Abstract—Many real world problems are mostly time varying optimization problems, which require special mechanisms for detection changes in environment and then response to them. This paper proposes a hybrid optimization method based on learning automata and artificial immune network for dynamic

SIMULATION, DEVELOPMENT AND DEPLOYMENT OF MOBILE WIRELESS SENSOR NETWORKS FOR MIGRATORY BIRD TRACKING

by Bird Tracking, William P. Bennett, William P., Development, Deployment Of, Mobile Wireless Sensor, William P. Bennett, William P. Bennett, Adviser Mehmet, C. Vuran , 2012
"... This thesis presents CraneTracker, a multi-modal sensing and communication system for monitoring migratory species at the continental level. By exploiting the robust and extensive cellular infrastructure across the continent, traditional mobile wireless sensor networks can be extended to enable reli ..."
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reliable, low-cost monitoring of migratory species. The developed multi-tier architecture yields ecologists with unconventional behavior in-formation not furnished by alternative tracking systems at such a large scale and for a low-cost. The simulation, development and implementation of the Crane

DOI 10.1007/s00138-008-0130-6 ORIGINAL PAPER Real-time gaze tracking with appearance-based models

by Javier Orozco, F. Xavier, Roca Jordi Gonzàlez, J. Gonzàlez
"... Abstract Psychological evidence has emphasized the importance of eye gaze analysis in human computer inter-action and emotion interpretation. To this end, current image analysis algorithms take into consideration eye-lid and iris motion detection using colour information and edge detec-tors. However ..."
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-tors. However, eye movement is fast and and hence difficult to use to obtain a precise and robust tracking. Instead, our method proposed to describe eyelid and iris movements as continuous variables using appearance-based tracking. This approach combines the strengths of adaptive appearance mod

Iterative Learning Air-Fuel Ratio Control with Adaptation in Spark Ignition Engines

by Member, IEEE Denis V Efimov , Hosein Javaherian , Vladimir O Nikiforov , J J J J − J J J J + > ∨ ≤ , Denis Efimov , Hossein Javaherian , Vladimir O Nikiforov
"... Abstract-The paper addresses the problem of air-fuel ratio (AFR) stabilization applying learning techniques. The proposed strategy consists in iterative redesign of control coefficients based on the control obtained in a previous step in conjunction with an adaptive scheme. The interesting feature ..."
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Abstract-The paper addresses the problem of air-fuel ratio (AFR) stabilization applying learning techniques. The proposed strategy consists in iterative redesign of control coefficients based on the control obtained in a previous step in conjunction with an adaptive scheme. The interesting feature

Vision-aided Inertial Navigation for Resource-constrained Systems

by Mingyang Li, Anastasios I. Mourikis
"... Abstract — In this paper we present a resource-adaptive framework for real-time vision-aided inertial navigation. Specifically, we focus on the problem of visual-inertial odometry (VIO), in which the objective is to track the motion of a mobile platform in an unknown environment. Our primary interes ..."
Abstract - Cited by 6 (3 self) - Add to MetaCart
slidingwindow EKF and EKF-based SLAM, and (ii) an adaptive image-processing module that adjusts the number of detected image features based on the availability of resources. By combining the hybrid EKF estimator, which optimally utilizes the feature measurements, with the adaptive image-processing algorithm

MiTAP for Bio-Security: A Case Study Global Tracking of Infectious Disease Outbreaks and Emerging Biological Threats

by Laurie Damianos , Jay Ponte , Steve Wohlever , Florence Reeder , David Day , George Wilson , Lynette Hirschman
"... Abstract * MiTAP (MITRE Text and Audio Processing) is a prototype system available for monitoring infectious disease outbreaks and other global events. MiTAP focuses on providing timely, multi-lingual, global information access to medical experts and individuals involved in humanitarian assistance ..."
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an additional 2000 to 10,000 daily, delivering up-to-date information to dozens of regular users. Global Tracking of Infectious Disease Outbreaks and Emerging Biological Threats Over the years, greatly expanded trade and travel have increased the potential economic and political impacts of major disease

Active Mask Framework for Segmentation of Fluorescence Microscope Images

by Gowri Srinivasa, Advisor Prof, Prof Matthew, C. Fickus, Prof Adam, D. Linstedt, Prof Robert, F. Murphy
"... m]]l]]s¶D]]¿÷mB]iv]b]oD]m¶¨]iv]§]iv]r]j]t¿rv]]irj]]t]]m] / | ap]]r¿]ÎNy]s¶D]]mb¶r]ix} Û]Ix]]rd]mb]} p—N]t]o%ism] in]ty]m] / || Û]Is]¡uÎc]rN]]riv]nd]p]*N]m]st¶ I always bow to Śri ̄ Śāradāmbā, the limitless ocean of the nectar of compassion, who bears a rosary, a vessel of nectar, the symbol of ..."
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facilitated the task of understanding complex sys-tems at cellular and molecular levels in recent years. Segmentation, an important yet dif-ficult problem, is often the first processing step following acquisition. Our team previously demonstrated that a stochastic active contour based algorithm together
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