Model
Digital Document
Publisher
Florida Atlantic University
Description
Automatic video tracking has had a major impact on animal behavior studies.
One of the challenges of this technique is keeping track of the identities of the
sh, especially when they swim together and exchange positions. In this project
we use the python programming language to address this problem for groups of
sh. The video data comes from schooling assays performed at FAU's Cave sh
Trilab (Dr. Keene, Dr. Duboue, and Dr. Kowalko). The method is inspired
by the idTracker animal tracking software: we track patterns of brightness as
a visual identi er of each sh which we then use to detect when the sh swap
places.
One of the challenges of this technique is keeping track of the identities of the
sh, especially when they swim together and exchange positions. In this project
we use the python programming language to address this problem for groups of
sh. The video data comes from schooling assays performed at FAU's Cave sh
Trilab (Dr. Keene, Dr. Duboue, and Dr. Kowalko). The method is inspired
by the idTracker animal tracking software: we track patterns of brightness as
a visual identi er of each sh which we then use to detect when the sh swap
places.
Member of