Pubblicazione scientifica

Automatic fish counting system for noisy deep-sea videos

FILONE TECNOLOGICO	TEMA
produzione e cattura

RIASSUNTO

In this paper, we present a non-invasive method of counting fish in their natural habitat using automated analysis of video data. Our approach uses three modular components to preprocess, detect, and track the fish. The preprocessing reduces noise present in the image while enhancing the fish using several different techniques. The fish detection is based on two background subtraction algorithms which are computed independently and later combined with logical operations. The tracking is then carried out by a heuristic blob tracking algorithm. The paper presents a description of the proposed counting method as well as its experimental validation.

DATA

Data di pubblicazione: 01/09/2014

AUTORI

RYAN FIER
ALEXANDRA BRANZAN ALBU
MAIA HOEBERECHTS

ENTE DI AFFERENZA

DEPT ELEC & COMPUT ENG UNIV VICTORIA VICTORIA BC CANADA
OCEAN NETWORKS CANADA UNIV VICTORIA VICTORIA BC CANADA

RIVISTA

2014 Oceans - St. John's (Page(s): 1-6)

IMPACT FACTOR

N.D.

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