Finding essential features for tracking starfish in a video sequence
- Autori: Di Gesu', V.; Isgro', F.; Tegolo, D.; Trucco, E.
- Anno di pubblicazione: 2003
- Tipologia: eedings
- OA Link: http://hdl.handle.net/10447/226307
Abstract
The paper introduces a software system for detecting and tracking starfish in an underwater video sequence. The target of such a system is to help biologists in giving an estimate of the number of starfish present in a particular area of the sea-bottom. The nature of the input images is characterised by a low signal/noise ratio and by the presence of noisy background represented by pebbles; this makes the detection a non-trivial task. The procedure we use is a chain of several steps that starts from the extraction of the area of interest and ends with a classifier and a tracker providing the necessary information for counting the starfish present in the scene. © 2003 IEEE.