Optimal Particle-Filter-Based Detector

GPDM , Particle Filter , Complex Environment , Multiple - Stage HOG Human Detector

Optimal Design of the Adaptive Normalized Matched Filter Detector

This article addresses improvements on the design of the adaptive normalized matched filter (ANMF) for radar detection. It is well-acknowledged that the estimation of the noise-clutter covariance matrix is a fundamental step in adaptive radar detection. In this paper, we consider regularized estimation methods which force by construction the eigenvalues of the scatter estimates to be greater th...

A Color-based Particle Filter

Robust real-time tracking of non-rigid objects is a challenging task. Particle filtering has been proven very successful for non-linear and non-Gaussian estimation problems. However, for the tracking of non-rigid objects, the selection of reliable image features is also essential. This paper presents the integration of color distributions into particle filtering, which has typically used edge-b...

Tracking of Multiple Soccer Players Using a 3d Particle Filter Based on Detector Confidence

In this paper, a novel method for tracking multiple soccer players based on a support vector machine (SVM) and a particle filter is proposed for a monocular fixed soccer video. This paper considers three main topics. First, the state of a particle filter presented in a 3D world coordinate space, instead of a 2D image coordinate space, provides a more realistic model tracking because depth consi...

Flexible silicon-based alpha-particle detector