6533b85bfe1ef96bd12ba134

RESEARCH PRODUCT

Finding essential features for tracking starfish in a video sequence

Francesco IsgròEmanuele TruccoV. Di GesuDomenico Tegolo

subject

Contextual image classificationbiologySettore INF/01 - InformaticaEstimation theoryComputer sciencebusiness.industryStarfishFeature extractionbiology.organism_classificationObject detectionComputer visionArtificial intelligenceSoftware systemUnderwaterbusinessClassifier (UML)underwater video sequence starfish features extraction.

description

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.

yearjournalcountryeditionlanguage
2004-02-03
10.1109/iciap.2003.1234100http://hdl.handle.net/11588/192933