Bias Robust Estimation of Scale

Bias Robust Estimation of Scale

Bias Robust Estimation of Scale Where Location Is Unknown

In this paper we consider the problem of robust estimation of the scale of the location residuals when the "true" underlying distribution of the data belongs to a contamination neighborhood of a parametric location-scale family. First we show that a scaled version of the l\tlADAM (median of absolute residuals about the median) is approximately most bias-robust within the class 0 Huber's proposa...

Efficiency Constrained Bias Robust Estimation of Location

Robust Adaptive-Scale Parametric Model Estimation

for Computer Vision Hanzi Wang and David Suter, Senior Member, IEEE Department of Electrical and Computer Systems Engineering Monash University, Clayton Vic. 3800, Australia. {hanzi.wang ; d.suter}@eng.monash.edu.au Abstract Robust model fitting essentially requires the application of two estimators. The first is an estimator for the values of the model parameters. The second is an estimator fo...

Accurate Scale Estimation for Robust Visual Tracking

Robust scale estimation is a challenging problem in visual object tracking. Most existing methods fail to handle large scale variations in complex image sequences. This paper presents a novel approach for robust scale estimation in a tracking-by-detection framework. The proposed approach works by learning discriminative correlation filters based on a scale pyramid representation. We learn separ...