View Alignment with Dynamically Updated Affine Tracking
نویسندگان
چکیده
We propose a framework for fast view alignment using adaptive affine tracking. We address the issue of modelling both shape and texture information in eigenspace for view alignment. We present an effective bootstrapping process based on colour segmentation and selective attention. We recover affine parameters with dynamic updates to the eigenspace using most recent history and perform predictions in parameter space. Experimental results are given to illustrate our approach.
منابع مشابه
Adaptive Fusion of Inertial Navigation System and Tracking Radar Data
Against the range-dependent accuracy of the tracking radar measurements including range, elevation and bearing angles, a new hybrid adaptive Kalman filter is proposed to enhance the performance of the radar aided strapdown inertial navigation system (INS/Radar). This filter involves the concept of residual-based adaptive estimation and adaptive fading Kalman filter and tunes dynamically the fil...
متن کاملTracking with Active Contours Using Dynamically Updated Shape Information
An active contour based tracking framework is described that generates and integrates dynamic shape information without having to learn a priori shape constraints. This dynamic shape information is combined with dynamic photometric foreground model matching and background mismatching. Boundary based optical flow is also used to estimate the location of the object in each new frame, incorporatin...
متن کاملIterative learning identification and control for dynamic systems described by NARMAX model
A new iterative learning controller is proposed for a general unknown discrete time-varying nonlinear non-affine system represented by NARMAX (Nonlinear Autoregressive Moving Average with eXogenous inputs) model. The proposed controller is composed of an iterative learning neural identifier and an iterative learning controller. Iterative learning control and iterative learning identification ar...
متن کاملExtending Interrupted Feature Point Tracking for 3-D Affine Reconstruction
Feature point tracking over a video sequence fails when the points go out of the field of view or behind other objects. Motivated by 3-D reconstruction applications, we extend such interrupted tracking by imposing the constraint that under the affine camera model feature trajectories should be in an affine space in the parameter space. Our method consists of iterations for optimally extending t...
متن کاملDynamic Gap Selector: A Smith Waterman Sequence Alignment Algorithm with Affine Gap Model Optimization
SmithWaterman algorithm (S-W) is a widespread method to perform local alignments of biological sequences of proteins, DNA and RNA molecules. Indeed, S-W is able to ensure better accuracy levels with respect to the heuristic alignment algorithms by extensively exploring all the possible alignment configurations between the sequences under examination. It has been proven that the first amino acid...
متن کامل