Finding essential features for tracking starfish in a video sequence

Author

Gesú, V. Di ; Isgró, F. ; Tegolo, D. ; Trucco, E.

Author_Institution

Palermo Univ., Italy

fYear

2003

fDate

17-19 Sept. 2003

Firstpage

504

Lastpage

509

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.

Keywords

biology computing; feature extraction; image classification; image sequences; object detection; optical noise; optical tracking; parameter estimation; random noise; video signal processing; zoology; SNR; area-of-interest extraction; features extraction; noisy background; signal-to-noise ratio; starfish detection; starfish tracking; video sequence; Background noise; Data mining; Image color analysis; Image sequence analysis; Inspection; Object detection; Signal to noise ratio; Target tracking; Underwater tracking; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Processing, 2003.Proceedings. 12th International Conference on

Print_ISBN

0-7695-1948-2

Type

conf

DOI

10.1109/ICIAP.2003.1234100

Filename

1234100