The main purpose of this paper is to develop the method of characteristic functions for calculating the detection characteristics in the case of the object surrounded by rough surfaces. This method is to be implemented in synthetic aperture radar (SAR) systems using optimal resolution algorithms. By applying the specified technique, the expressions have been obtained for the false alarm and cor...

Object detectors are typically learned on fully-annotated training data with fixed predefined categories. However, categories often required to be increased progressively. Usually, only the original set annotated old classes and some new labeled available in such scenarios. Based limited datasets, a unified detector that can handle all is strongly needed. We propose practical scheme achieve it ...

The Poisson multi-Bernoulli mixture (PMBM) is a multiobject conjugate prior for the closed-form Bayes random finite set filter. extended object PMBM filter provides solution multiple filtering with standard models. This article considers computationally lighter alternatives to by propagating (PMB) density through recursion. A new local hypothesis representation presented, where each measurement...

This work aims to design a distributed extended object tracking system over realistic network, where both the extent and kinematics are required retain consensus within entire network. To this end, we resort multiplicative error model (MEM) that allows parameters of perpendicular axis-symmetric objects have individual uncertainty. incorporate MEM into information filter (IF) style, use moment-m...