Now showing items 1-20 of 42

    • Active Contours and Optical Flow for Automatic Tracking of Flying Vehicles 

      Ha, Jin-cheol; Alvino, Christopher Vincent; Pryor, Gallagher D.; Niethammer, Marc; Johnson, Eric N.; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2004)
      In this paper, we describe fast implementations of optical flow and geometric active contours to reliably track flying vehicles. Given the position of the vehicle at time t-1, optical flow information is used to initially ...
    • Applications of bayesian filtering in wireless networks: clock synchronization, localization, and rf tomography 

      Hamilton, Benjamin Russell (Georgia Institute of Technology, 2012-05-04)
      In this work, we investigate the application of Bayesian filtering techniques such as Kalman Filtering and Particle filtering to the problems of network time synchronization, self-localization and radio-frequency (RF) ...
    • Automated 3D vision-based tracking of construction entities 

      Park, Man-Woo (Georgia Institute of Technology, 2012-08-21)
      In construction sites, tracking project-related entities such as construction equipment, materials, and personnel provides useful information for productivity measurement, progress monitoring, on-site safety enhancement, ...
    • Coarse-to-Fine Segmentation and Tracking Using Sobolev Active Contours 

      Sundaramoorthi, Ganesh; Yezzi, Anthony; Mennucci, Andrea C. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2008-05)
      Recently proposed Sobolev active contours introduced a new paradigm for minimizing energies defined on curves by changing the traditional cost of perturbing a curve and thereby redefining gradients associated to these ...
    • Contact Control for Advanced Applications of Light Weight Arms 

      Book, Wayne John; Kwon, Dong-Soo (Georgia Institute of TechnologyKluwer Academic Publishers, 1992)
      Many applications of robotic and teleoperated manipulator arms require operation in contact and noncontact regimes. This paper deals with both regimes and the transition between them with special attention given to problems ...
    • Cool Apps and Open Source Tools to Collect and Display Access Services Data 

      Thompson, Susan; Roudenbush, Teresa (Georgia Institute of Technology, 2013-11)
      Come learn how you can use cool apps, open source tools and mobile devices to track things like space utilization and questions asked at the desk. Then put your statistics altogether in a one-stop dashboard using Google.
    • Designing a multi-modal traveler information platform for urban transportation 

      Doshi, Siddharth (Georgia Institute of Technology, 2010-11-18)
      Urban transportation networks are inefficient due to sub-optimal use by travelers. One approach to counter the increase in urban transportation demand is to provide better information to travelers, which would allow them ...
    • Dynamic level sets for visual tracking 

      Niethammer, Marc; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2003-12)
      In this paper we describe two methods for tracking planar curves which are allowed to change topology. In contrast to previous approaches a level set formulation is used that allows for the propagation of state information ...
    • Fast Optimal Mass Transport for Dynamic Active Contour Tracking on the GPU 

      Pryor, Gallagher D.; Rehman, Tauseef ur; Lankton, Shawn; Vela, Patricio A.; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2007-12)
      In computational vision, visual tracking remains one of the most challenging problems due to noise, clutter, occlusion, and dynamic scenes. No one technique has yet managed to solve this problem completely, but those that ...
    • Filtering for Closed Curves 

      Rathi, Yogesh (Georgia Institute of Technology, 2006-10-23)
      This thesis deals with the problem of tracking highly deformable objects in the presence of noise, clutter and occlusions. The contributions of this thesis are threefold: A novel technique is proposed to perform ...
    • Gaussian Process Regression Flow for Analysis of Motion Trajectories 

      Kim, Kihwan; Lee, Dongryeol; Essa, Irfan (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2011-11)
      Recognition of motions and activities of objects in videos requires effective representations for analysis and matching of motion trajectories. In this paper, we introduce a new representation specifically aimed at ...
    • A Generic Framework for Tracking Using Particle Filter With Dynamic Shape Prior 

      Rathi, Yogesh; Vaswani, Namrata; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2007-05)
      Tracking deforming objects involves estimating the global motion of the object and its local deformations as functions of time. Tracking algorithms using Kalman filters or particle filters (PFs) have been proposed for ...
    • Illumination compensation in video surveillance analysis 

      Bales, Michael Ryan (Georgia Institute of Technology, 2011-03-30)
      Problems in automated video surveillance analysis caused by illumination changes are explored, and solutions are presented. Controlled experiments are first conducted to measure the responses of color targets to changes ...
    • Improved tracking by decoupling camera and target motion 

      Lankton, Shawn; Tannenbaum, Allen R. (Georgia Institute of TechnologySociety of Photo-Optical Instrumentation Engineers, 2008-01)
      Video tracking is widely used for surveillance, security, and defense purposes. In cases where the camera is not fixed due to pans and tilts, or due to being fixed on a moving platform, tracking can become more difficult. ...
    • Inferring social structure and dominance relationships between rhesus macaques using RFID tracking data 

      Maddali, Hanuma Teja (Georgia Institute of Technology, 2014-04-04)
      This research address the problem of inferring, through Radio-Frequency Identification (RFID) tracking data, the graph structures underlying social interactions in a group of rhesus macaques (a species of monkey). These ...
    • Interactive tracking and action retrieval to support human behavior analysis 

      Ciptadi, Arridhana (Georgia Institute of Technology, 2016-03-31)
      The goal of this thesis is to develop a set of tools for continuous tracking of behavioral phenomena in videos to support human behavior study. Current standard practices for extracting useful behavioral information from ...
    • Knowledge-Based Segmentation for Tracking Through Deep Turbulence 

      Vela, Patricio A.; Niethammer, Marc; Pryor, Gallagher D.; Tannenbaum, Allen R.; Butts, Robert; Washburn, Donald (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2008-05)
      A combined knowledge-based segmentation/active contour algorithm is used for target tracking through turbulence. The algorithm utilizes Bayesian modeling for segmentation of noisy imagery obtained through longrange, laser ...
    • Layered Deformotion with Radiance: A Model for Appearance, Segmentation, Registration, and Tracking 

      Jackson, Jeremy D. (Georgia Institute of Technology, 2007-07-09)
      This dissertation gives a general model for the estimation of shape (image segmentation), appearance, pose (image registration), and movement (tracking). The model can infer parameters for multiple objects in a dynamically ...
    • Mathematical analysis of a dynamical system for sparse recovery 

      Balavoine, Aurele (Georgia Institute of Technology, 2014-04-04)
      This thesis presents the mathematical analysis of a continuous-times system for sparse signal recovery. Sparse recovery arises in Compressed Sensing (CS), where signals of large dimension must be recovered from a small ...
    • An MCMC-based Particle Filter for Tracking Multiple Interacting Targets 

      Khan, Zia; Balch, Tucker; Dellaert, Frank (Georgia Institute of Technology, 2003)
      We describe a Markov chain Monte Carlo based particle filter that effectively deals with interacting targets, i.e., targets that are influenced by the proximity and/or behavior of other targets. Such interactions cause ...