Automatically detect and track multiple fish swimming in shallow water with frequent occlusion.

ABSTRACT: Due to its universality, swarm behavior in nature attracts much attention of scientists from many fields. Fish schools are examples of biological communities that demonstrate swarm behavior. The detection and tracking of fish in a school are of important significance for the quantitative research on swarm behavior. However, different from other biological communities, there are three problems in the detection and tracking of fish school, that is, variable appearances, complex motion and frequent occlusion. To solve these problems, we propose an effective method of fish detection and tracking. In this method, first, the fish head region is positioned through extremum detection and ellipse fitting; second, The Kalman filtering and feature matching are used to track the target in complex moti

SUBMITTER: Qian ZM 

PROVIDER: S-EPMC4160317 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature