About this document

Object Tracking in Computer Vision by Pau Bonco is a document available to read on EtoBox.

The document outlines a lecture on Object Tracking in Computer Vision, covering key topics such as tracking problems, data association, state space models, and filtering techniques like Kalman and Particle filters. It discusses two major approaches to object tracking: local-feature based and region-feature based, detailing their procedures, advantages, and disadvantages. Additionally, the Hungarian Algorithm is introduced as a method for optimizing data association tasks in tracking scenarios.

Author

Pau Bonco

Language

EN