As a result of the worldwide deployment of surveillance cameras, authorities have gained a
powerful tool that captures footage of activities of people in public areas. Surveillance …

The paper develops an approach to joint tracking and classification based on belief
functions as understood in the transferable belief model (TBM). The TBM model is identical …

A novel probabilistic perception algorithm is presented as a real-time joint solution to data
association, object tracking, and object classification for an autonomous ground vehicle in …

This paper considers the problem of joint maneuvering target tracking and classification.
Based on recently proposed Monte Carlo techniques, a multiple model (MM) particle filter …

In this article, we propose a novel approach to distributed joint detection, tracking, and
classification (D-JDTC) of multiple targets by means of a multisensor network. The proposed …

The subject of this thesis is belief function theory and its application in different contexts.
Belief function theory can be interpreted as a generalization of Bayesian probability theory …

A theoretical framework is presented for target classification based on the belief theory on
the continuous space. The proposed approach is applicable when class-conditioned …

To account for joint detection, tracking, and classification (JDTC) of multiple targets from a
sequence of noisy and cluttered observation sets, this paper introduces a recursive …

For joint tracking and classification (JTC) of multiple extended targets in the presence of
clutter and detection uncertainty, this paper proposes a recursive algorithm based on the …

The joint decision and estimation (JDE) algorithm is for solving problems involving
simultaneous interdependent decision and estimation. Based on the JDE approach with a …