Motion Estimation with More than Two Frames
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimating 3D Egomotion from Perspective Image Sequence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimation Three-Dimensional Motion of Rigid Objects from Noisy Observations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimating the Kinematics and Structure of a Rigid Object from a Sequence of Monocular Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recovery of Nonrigid Motion and Structure
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recursive 3-D Road and Relative Ego-State Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Motion and Structure from Line Correspondences; Closed-Form Solution, Uniqueness, and Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Analysis of Inherent Ambiguities in Recovering 3-D Motion from a Noisy Flow Field
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recursive 3-D Visual Motion Estimation Using Subspace Constraints
International Journal of Computer Vision
Error modeling in stereo navtgation
ACM '86 Proceedings of 1986 ACM Fall joint computer conference
CSC '91 Proceedings of the 19th annual conference on Computer Science
Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optical Flow Constraints on Deformable Models with Applications to Face Tracking
International Journal of Computer Vision
Computer puppetry: An importance-based approach
ACM Transactions on Graphics (TOG)
Unbiased Estimation and Statistical Analysis of 3-D Rigid Motion from Two Views
IEEE Transactions on Pattern Analysis and Machine Intelligence
3-D Motion Estimation in Model-Based Facial Image Coding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape and Nonrigid Motion Estimation Through Physics-Based Synthesis
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vehicle-Type Motion Estimation From Multi-Frame Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimal Motion and Structure Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Interpolation Using Wavelet Bases
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust 3-D-3-D Pose Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recursive Estimation of Motion, Structure, and Focal Length
IEEE Transactions on Pattern Analysis and Machine Intelligence
Structure from Motion Causally Integrated Over Time
IEEE Transactions on Pattern Analysis and Machine Intelligence
Elastically Adaptive Deformable Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust evidence-based object tracking
Pattern Recognition Letters
3-D Motion and Structure from 2-D Motion Causally Integrated over Time: Implementation
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
Motion and structure from multiple cues; image motion, shading flow, and stereo disparity
Computer Vision and Image Understanding
Human motion analysis for biomechanics and biomedicine
Machine Vision and Applications - Special issue: Human modeling, analysis, and synthesis
ACM Computing Surveys (CSUR)
Optic flow-based vision system for autonomous 3D localization and control of small aerial vehicles
Robotics and Autonomous Systems
Efficient tracking and ego-motion recovery using gait analysis
Signal Processing
Online 3-D trajectory estimation of a flying object from a monocular image sequence
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Recursive estimation of time-varying motion and structure parameters
Pattern Recognition
Robotics and Autonomous Systems
Behavior based robot localisation using stereo vision
RobVis'08 Proceedings of the 2nd international conference on Robot vision
Vision-based vehicle speed measurement method
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part I
Efficient marker matching using pair-wise constraints in physical therapy
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
A spatio-spectral algorithm for robust and scalable object tracking in videos
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
Multiple objects tracking method based on particle filter
CSECS'11/MECHANICS'11 Proceedings of the 10th WSEAS international conference on Circuits, Systems, Electronics, Control & Signal Processing, and Proceedings of the 7th WSEAS international conference on Applied and Theoretical Mechanics
A fast approach for person detection and tracking
International Journal of Computer Applications in Technology
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
Markov Chain Monte Carlo Modular Ensemble Tracking
Image and Vision Computing
Efficient multi-feature PSO for fast gray level object-tracking
Applied Soft Computing
Persistent tracking of static scene features using geometry
Computer Vision and Image Understanding
An integrated stereo visual odometry for robotic navigation
Robotics and Autonomous Systems
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An approach is presented for the estimation of object motion parameters based on a sequence of noisy images. The problem considered is that of a rigid body undergoing unknown rotational and translational motion. The measurement data consists of a sequence of noisy image coordinates of two or more object correspondence points. By modeling the object dynamics as a function of time, estimates of the model parameters (including motion parameters) can be extracted from the data using recursive and/or batch techniques. This permits a desired degree of smoothing to be achieved through the use of an arbitrarily large number of images. Some assumptions regarding object structure are presently made. Results are presented for a recursive estimation procedure: the case considered here is that of a sequence of one dimensional images of a two dimensional object. Thus, the object moves in one transverse dimension, and in depth, preserving the fundamental ambiguity of the central projection image model (loss of depth information). An iterated extended Kalman filter is used for the recursive solution. Noise levels of 5-10 percent of the object image size are used. Approximate Cramer-Rao lower bounds are derived for the model parameter estimates as a function of object trajectory and noise level. This approach may be of use in situations where it is difficult to resolve large numbers of object match points, but relatively long sequences of images (10 to 20 or more) are available.