<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The efficiency and robustness of modern visual tracking systems are largely dependent on the object detection system at hand. Bernoulli and Multi-Bernoulli filters have been proposed for visual tracking without explicit detections (image observations). However, these previous approaches do not fully exploit discriminative features for tracking. In this paper, we propose a novel Bernoulli filter with determinantal point processes observations. The proposed observation model can select groups of detections with high detection scores and low correlation among the observed features; thus achieving a robust filter.</p>
</abstract>

The efficiency and robustness of modern visual tracking systems are largely dependent on the object detection system at hand. Bernoulli and Multi-Bernoulli filters have been proposed for visual tracking without explicit detections (image observations). However, these previous approaches do not fully exploit discriminative features for tracking. In this paper, we propose a novel Bernoulli filter with determinantal point processes observations. The proposed observation model can select groups of detections with high detection scores and low correlation among the observed features; thus achieving a robust filter.

Robust single target tracking using determinantal point process observations

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

running-head

The efficiency and robustness of modern visual tracking systems are largely dependent on the object detection system at hand. Bernoulli and Multi-Bernoulli...

Robust single target tracking using determinantal point process observations

Article Category: Research-Article

Pubblicato online: 01 feb 2020

Pagine: 1 - 8

Ricevuto: 05 giu 2019

DOI: https://doi.org/10.21307/ijssis-2020-001

Parole chiave
Visual tracking, Bernoulli filter.

© 2020 S. Hernández et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Robust single target tracking using determinantal point process observations

Article Category: Research-Article

Pubblicato online: 01 feb 2020

Pagine: 1 - 8

Ricevuto: 05 giu 2019

DOI: https://doi.org/10.21307/ijssis-2020-001

Parole chiaveVisual tracking, Bernoulli filter.

© 2020 S. Hernández et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Parole chiave
Visual tracking, Bernoulli filter.