The proceedings contain 23 papers. The topics discussed include: fusion without independence;investigation into the utility of using CFAR cluster size information in target track association;multi-sensor debris tracki...
ISBN:
(纸本)9780863419102
The proceedings contain 23 papers. The topics discussed include: fusion without independence;investigation into the utility of using CFAR cluster size information in target track association;multi-sensor debris tracking;Gaussian mixture implementations of probability hypothesis density filters for non-linear dynamical models;population based particle filtering;MAP estimation in particle filter tracking;a new algorithm for GMTI tracking problems, subject to a Doppler blind zone constraint;a technique to segment by tracking extended targets manoeuvring through complex scenes;video tracking using dual-tree wavelet polar matching and particle filtering;cluster tracking under kinematical constraints using random matrices;evolving networks for group object motion estimation;fusion of novel biometrics for human tracking and identification;and NATO intelligence surveillance reconnaissance tracking standard NATO STANAG 4676.
This paper deals with the problem of non-cooperative target recognition. Specifically, the aim is the automatic recognition of ship targets from inverse synthetic aperture radar (ISAR) images. For this purpose a new t...
详细信息
This paper deals with the problem of non-cooperative target recognition. Specifically, the aim is the automatic recognition of ship targets from inverse synthetic aperture radar (ISAR) images. For this purpose a new two-step multi-feature based technique is proposed;this technique uses a number of features extracted from the ship radar image and matches these features with those extracted from the images obtained by properly projecting the target models of the classification library. Both cases of a priori known or unknown ship aspect angles are considered: the knowledge of the ship aspect (as available from trackingdata) allows the selection of the candidate models on the basis of the matching between the ship and the model length, thus resulting in a performance improvement. Moreover, both single-and multi-frame-based processing techniques are proposed in order to assess the performance improvement achievable when an increasing number of ISAR images are involved in the decision;the fusion strategy adopted for the exploitation of the information from the multiple images is also described. The performance of the overall proposed technique is deeply investigated against simulated data. Results of its application to a set of live ISAR images of a ship target are also provided showing the effectiveness of the proposed approach.
This paper considers the problem of manoeuvring targettracking with bearings-only measurements collected by a single source. We use the switching multiple models description where the target motion is described by a ...
详细信息
Scattering of signals from commercial television or radio channels from air and surface targets can be detected by one or more passive receivers. The received signals can be processed to give bistatic range and range ...
详细信息
This paper introduces a new methodology to take account of the Doppler blind zone arising, for example, in GMTI tracking. Here, the measurements are suppressed, when the range-rate of the target drops below a specifie...
详细信息
Posterior densities in nonlinear tracking problems can successfully be constructed using particle filtering. The mean of the density is a popular point estimate. However, especially in multi-modal densities it does no...
详细信息
In this paper, we describe a video tracking application using the dual-tree polar matching algorithm. The models are specified in a probabilistic setting, and a particle ilter is used to perform the sequential inferen...
详细信息
During CFAR processing of low-resolution-radar data (e.g. from yacht navigation systems), the target is represented by a cluster of range-azimuth cells. The centroid is usually passed to the tracking system, however i...
详细信息
暂无评论