@conference {12591,
	title = {Simulation and Analysis of Human Walking Motion},
	booktitle = {Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on},
	volume = {1},
	year = {2007},
	month = {2007/04//},
	pages = {I-797 -I-800 - I-797 -I-800},
	abstract = {Simulation and analysis of human walking motion has applications in surveillance and healthcare. In this paper we discuss an approach for modeling human walking motion using a mechanical model in the form of a kinematic chain consisting of rigid links and revolute joints. Our goal is to discriminate different types of walking motions using information such as joint torque and angle sequences extracted from the model. The angle sequences are initially extracted using 3D geometry. From these angle sequences we extract the torque sequences using a recursive Newton Euler inverse dynamics algorithm. Time series models and dynamic time warping of the torque and angle sequences are used to characterize and discriminate different walking patterns. A forward dynamics algorithm is also presented for synthesizing different walking sequences like limping from a normal walking torque sequence},
	keywords = {3D, algorithm;revolute, analysis;image, chain;mechanical, DYNAMICS, Euler, extraction;image, geometry;angle, inverse, joints;rigid, links;surveillance;time, method;feature, model;recursive, models;torque, MOTION, motion;kinematic, Newton, patterns;Newton, problems;time, sequences;dynamic, sequences;inverse, sequences;walking, series, series;time, simulation;torque;, TIME, walking, warp, warping;healthcare;human},
	doi = {10.1109/ICASSP.2007.366028},
	author = {Nandy, K. and Chellapa, Rama}
}
@conference {14050,
	title = {A simplified Newton method for the inverse orthotropic problem},
	booktitle = {Antennas and Propagation Society International Symposium, 2003. IEEE},
	volume = {1},
	year = {2003},
	month = {2003/06//},
	pages = {535 - 538 vol.1 - 535 - 538 vol.1},
	abstract = {We consider one of the most challenging inverse problems in electromagnetic scattering for inhomogeneous medium. We try to reconstruct the elements of a matrix from scattering data in an orthotropic medium. To solve the inverse problem, we implement a simplified Newton method and present some numerical results.},
	keywords = {algebra;, electromagnetic, inhomogeneous, inverse, matrix, matrix;, media;, medium;, method;, Newton, orthotropic, problem;, problems;, scattering;, wave},
	doi = {10.1109/APS.2003.1217514},
	author = {Seydou,F. and Seppanen,T. and Duraiswami, Ramani}
}
@conference {12746,
	title = {A hierarchical approach for obtaining structure from two-frame optical flow},
	booktitle = {Motion and Video Computing, 2002. Proceedings. Workshop on},
	year = {2002},
	month = {2002/12//},
	pages = {214 - 219},
	abstract = {A hierarchical iterative algorithm is proposed for extracting structure from two-frame optical flow. The algorithm exploits two facts: one is that in many applications, such as face and gesture recognition, the depth variation of the visible surface of an object in a scene is small compared to the distance between the optical center and the object; the other is that the time aliasing problem is alleviated at the coarse level for any two-frame optical flow estimate so that the estimate tends to be more accurate. A hierarchical representation for the relationship between the optical flow, depth, and the motion parameters is derived, and the resulting non-linear system is iteratively solved through two linear subsystems. At the coarsest level, the surface of the object tends to be flat, so that the inverse depth tends to be a constant, which is used as the initial depth map. Inverse depth and motion parameters are estimated by the two linear subsystems at each level and the results are propagated to finer levels. Error analysis and experiments using both computer-rendered images and real images demonstrate the correctness and effectiveness of our algorithm.},
	keywords = {algorithm;, aliasing;, analysis;, computer-rendered, depth, depth;, error, estimation;, extraction;, Face, feature, flow;, gesture, hierarchical, image, images;, inverse, iterative, methods;, MOTION, nonlinear, optical, parameter, processing;, real, recognition;, sequences;, signal, structure-from-motion;, system;, systems;, TIME, two-frame, variation;, video},
	doi = {10.1109/MOTION.2002.1182239},
	author = {Liu,Haiying and Chellapa, Rama and Rosenfeld, A.}
}
