# IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)

## Filter Results

Displaying Results 1 - 24 of 24

Publication Year: 2010, Page(s):C1 - 981
| PDF (149 KB)
• ### IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics publication information

Publication Year: 2010, Page(s): C2
| PDF (38 KB)
• ### Special Issue on New Advances in Video-Based Gait Analysis and Applications: Challenges and Solutions

Publication Year: 2010, Page(s):982 - 985
Cited by:  Papers (3)
| PDF (187 KB) | HTML
• ### Low-Resolution Gait Recognition

Publication Year: 2010, Page(s):986 - 996
Cited by:  Papers (32)
| | PDF (768 KB) | HTML

Unlike other biometric authentication methods, gait recognition is noninvasive and effective from a distance. However, the performance of gait recognition will suffer in the low-resolution (LR) case. Furthermore, when gait sequences are projected onto a nonoptimal low-dimensional subspace to reduce the data complexity, the performance of gait recognition will also decline. To deal with these two i... View full abstract»

• ### Self-Calibrating View-Invariant Gait Biometrics

Publication Year: 2010, Page(s):997 - 1008
Cited by:  Papers (74)
| | PDF (1090 KB) | HTML

We present a new method for viewpoint independent gait biometrics. The system relies on a single camera, does not require camera calibration, and works with a wide range of camera views. This is achieved by a formulation where the gait is self-calibrating. These properties make the proposed method particularly suitable for identification by gait, where the advantages of completely unobtrusiveness,... View full abstract»

• ### Applications of a Simple Characterization of Human Gait in Surveillance

Publication Year: 2010, Page(s):1009 - 1020
Cited by:  Papers (22)
| | PDF (1689 KB) | HTML

Applications of a simple spatiotemporal characterization of human gait in the surveillance domain are presented. The approach is based on decomposing a video sequence into x-t slices, which generate periodic patterns referred to as double helical signatures (DHSs). The features of DHS are given as follows: 1) they naturally encode the appearance and kinematics of human motion and reveal geometric ... View full abstract»

• ### Action and Gait Recognition From Recovered 3-D Human Joints

Publication Year: 2010, Page(s):1021 - 1033
Cited by:  Papers (40)
| | PDF (1587 KB) | HTML

A common viewpoint-free framework that fuses pose recovery and classification for action and gait recognition is presented in this paper. First, a markerless pose recovery method is adopted to automatically capture the 3-D human joint and pose parameter sequences from volume data. Second, multiple configuration features (combination of joints) and movement features (position, orientation, and heig... View full abstract»

• ### Dual Gait Generative Models for Human Motion Estimation From a Single Camera

Publication Year: 2010, Page(s):1034 - 1049
Cited by:  Papers (23)
| | PDF (1381 KB) | HTML

This paper presents a general gait representation framework for video-based human motion estimation. Specifically, we want to estimate the kinematics of an unknown gait from image sequences taken by a single camera. This approach involves two generative models, called the kinematic gait generative model (KGGM) and the visual gait generative model (VGGM), which represent the kinematics and appearan... View full abstract»

• ### Recognition of Affect Based on Gait Patterns

Publication Year: 2010, Page(s):1050 - 1061
Cited by:  Papers (43)
| | PDF (492 KB) | HTML

To provide a means for recognition of affect from a distance, this paper analyzes the capability of gait to reveal a person's affective state. We address interindividual versus person-dependent recognition, recognition based on discrete affective states versus recognition based on affective dimensions, and efficient feature extraction with respect to affect. Principal component analysis (PCA), ker... View full abstract»

• ### Evaluating Point-Based POMDP Solvers on Multicore Machines

Publication Year: 2010, Page(s):1062 - 1074
Cited by:  Papers (4)
| | PDF (605 KB) | HTML

Recent scaling up of partially observable Markov decision process solvers toward realistic applications is largely due to point-based methods which quickly provide approximate solutions for midsized problems. New multicore machines offer an opportunity to scale up to larger domains. These machines support parallel execution and can speed up existing algorithms considerably. In this paper, we evalu... View full abstract»

• ### Multicriteria Optimization for Coordination of Redundant Robots Using a Dual Neural Network

Publication Year: 2010, Page(s):1075 - 1087
Cited by:  Papers (31)
| | PDF (1350 KB) | HTML

A dual neural-network method for the coordination of kinematically redundant robots is proposed in this paper. The performance criteria for single robots provided by Nedungadi and Kazerounian are generalized to a multicriteria form for the coordinated-manipulation system composed of multiple serial manipulators. By optimizing the local joint torques and generalized forces applied on the object/wor... View full abstract»

• ### Online Signature Verification With Support Vector Machines Based on LCSS Kernel Functions

Publication Year: 2010, Page(s):1088 - 1100
Cited by:  Papers (40)
| | PDF (1186 KB) | HTML

In this paper, a new technique for online signature verification or identification is proposed. The technique integrates a longest common subsequences (LCSS) detection algorithm which measures the similarity of signature time series into a kernel function for support vector machines (SVM). LCSS offers the possibility to consider the local variability of signals such as the time series of pen-tip c... View full abstract»

• ### Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression

Publication Year: 2010, Page(s):1101 - 1114
Cited by:  Papers (4)
| | PDF (427 KB) | HTML

A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimation process determines a tunable kernel, namely, its center vector and diagonal covariance matrix, by minimizing a leave-one-out test criterion. The kernel mixing weights of the constructed sparse density estimate are fi... View full abstract»

• ### Homography-Based Control Scheme for Mobile Robots With Nonholonomic and Field-of-View Constraints

Publication Year: 2010, Page(s):1115 - 1127
Cited by:  Papers (35)
| | PDF (1092 KB) | HTML

In this paper, we present a visual servo controller that effects optimal paths for a nonholonomic differential drive robot with field-of-view constraints imposed by the vision system. The control scheme relies on the computation of homographies between current and goal images, but unlike previous homography-based methods, it does not use the homography to compute estimates of pose parameters. Inst... View full abstract»

• ### Framelet Kernels With Applications to Support Vector Regression and Regularization Networks

Publication Year: 2010, Page(s):1128 - 1144
Cited by:  Papers (16)
| | PDF (965 KB) | HTML

Support vector regression and regularization networks are kernel-based techniques for solving the regression problem of recovering the unknown function from sample data. The choice of the kernel function, which determines the mapping between the input space and the feature space, is of crucial importance to such learning machines. Estimating the irregular function with a multiscale structure that ... View full abstract»

• ### Optimization of Shared Autonomy Vehicle Control Architectures for Swarm Operations

Publication Year: 2010, Page(s):1145 - 1157
Cited by:  Papers (4)
| | PDF (848 KB) | HTML

The need for greater capacity in automotive transportation (in the midst of constrained resources) and the convergence of key technologies from multiple domains may eventually produce the emergence of a “swarm” concept of operations. The swarm, which is a collection of vehicles traveling at high speeds and in close proximity, will require technology and management techniques to ensur... View full abstract»

• ### Automatic Location of Facial Feature Points and Synthesis of Facial Sketches Using Direct Combined Model

Publication Year: 2010, Page(s):1158 - 1169
Cited by:  Papers (7)
| | PDF (1517 KB) | HTML

Automatically locating multiple feature points (i.e., the shape) in a facial image and then synthesizing the corresponding facial sketch are highly challenging since facial images typically exhibit a wide range of poses, expressions, and scales, and have differing degrees of illumination and/or occlusion. When the facial sketches are to be synthesized in the unique sketching style of a particular ... View full abstract»

• ### L1-Norm-Based 2DPCA

Publication Year: 2010, Page(s):1170 - 1175
Cited by:  Papers (62)
| | PDF (489 KB) | HTML

In this paper, we first present a simple but effective L1-norm-based two-dimensional principal component analysis (2DPCA). Traditional L2-norm-based least squares criterion is sensitive to outliers, while the newly proposed L1-norm 2DPCA is robust. Experimental results demonstrate its advantages. View full abstract»

• ### Recourse-Based Facility-Location Problems in Hybrid Uncertain Environment

Publication Year: 2010, Page(s):1176 - 1187
Cited by:  Papers (21)
| | PDF (387 KB) | HTML

The objective of this paper is to study facility-location problems in the presence of a hybrid uncertain environment involving both randomness and fuzziness. A two-stage fuzzy-random facility-location model with recourse (FR-FLMR) is developed in which both the demands and costs are assumed to be fuzzy-random variables. The bounds of the optimal objective value of the two-stage FR-FLMR are derived... View full abstract»

• ### Hybrid Simulated Annealing and Its Application to Optimization of Hidden Markov Models for Visual Speech Recognition

Publication Year: 2010, Page(s):1188 - 1196
Cited by:  Papers (8)
| | PDF (319 KB) | HTML

We propose a novel stochastic optimization algorithm, hybrid simulated annealing (SA), to train hidden Markov models (HMMs) for visual speech recognition. In our algorithm, SA is combined with a local optimization operator that substitutes a better solution for the current one to improve the convergence speed and the quality of solutions. We mathematically prove that the sequence of the obj... View full abstract»

• ### Decentralized Fuzzy $H_{infty}$ Filtering for Nonlinear Interconnected Systems With Multiple Time Delays

Publication Year: 2010, Page(s):1197 - 1203
Cited by:  Papers (29)
| PDF (170 KB) | HTML

Publication Year: 2010, Page(s): 1204
| PDF (324 KB)
• ### IEEE Systems, Man, and Cybernetics Society Information

Publication Year: 2010, Page(s): C3
| PDF (29 KB)
• ### IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics Information for authors

Publication Year: 2010, Page(s): C4
| PDF (33 KB)

## Aims & Scope

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics focuses on cybernetics, including communication and control across humans, machines and organizations at the structural or neural level

This Transaction ceased production in 2012. The current retitled publication is IEEE Transactions on Cybernetics.

Full Aims & Scope

## Meet Our Editors

Editor-in-Chief
Dr. Eugene Santos, Jr.
Thayer School of Engineering
Dartmouth College