Automated multi-object tracker with hybrid particle filter and data association from fixed camera view

Author

ALAMPAY RAPHAEL

Date of Award

2012

Document Type

Thesis

Degree Name

Master of Science in Computer Science

Department

Information Systems & Computer Science

Abstract

This research presents a method for automatically tracking multiple objects in a video from a fixed angle camera. It is based on the Particle Filter method, a multi-hypothesis tracking algorithm that approximates the state of an object through a sequence

Comments

The C7.A46 2012

Recommended Citation

RAPHAEL, ALAMPAY, (2012). Automated multi-object tracker with hybrid particle filter and data association from fixed camera view. Archīum.ATENEO.
https://archium.ateneo.edu/theses-dissertations/191