Detection and tracking of deformable and stack objects.

External Member

David Ahmedt-Aristizabal

Description

Abstract: This project aims to capture the target appearance variations across consecutive video frames. This system should track objects with severe variations including changes in colour, size and divisions. The tracking module also links each division (piece) with the unique assigned label (ID) of the original object. Dataset: adapt and develop datasets (e.g. food process, cell division).

Contact: David Ahmedt-Aristizabal

Updated:  1 June 2019/Responsible Officer:  Dean, CECS/Page Contact:  CECS Marketing