[en] The capability of a new multitracking system to track a large number of unmarked fish (up to 100) is evaluated. This system extrapolates a trajectory from each individual and analyzes recorded sequences that are several minutes long. This system is very efficient in statistical individual tracking, where the individual’s identity is important for a short period of time in comparison with the duration of the track. Individual identification is
typically greater than 99%. Identification is largely efficient (more than 99%) when the fish images do not cross the image of a neighbor fish. When the images of two fish merge (occlusion), we consider that the spot on the screen has a double identity. Consequently, there are no identification errors during occlusions, even though the measurement of the positions of each individual is imprecise. When the images of these two merged fish separate (separation), individual identification errors are more frequent, but their effect is very low in statistical individual tracking. On the other hand, in complete individual tracking, where individual fish identity is important for the entire trajectory, each identification error invalidates the results. In such cases, the experimenter must observe whether the program assigns the correct identification, and, when an error is made, must edit the results. This work is not too costly in time because it is limited to the separation events, accounting for fewer than
0.1% of individual identifications. Consequently, in both statistical and rigorous individual tracking, this system allows the experimenter to gain time by measuring the individual position automatically. It can also analyze the structural and dynamic properties of an animal group with a very large sample, with precision and sampling that are impossible to obtain with manual measures.
Research center :
Unité biologie du Comportement: laboratoire d'éthologie des poissons et amphibiens
Disciplines :
Zoology
Author, co-author :
Delcourt, Johann ; Université de Liège - ULiège > Département des sciences et gestion de l'environnement > Biologie du comportement - Ethologie et psychologie animale
Becco, Christophe ; Université de Liège - ULiège > Département de physique > Département de physique
Vandewalle, Nicolas ; Université de Liège - ULiège > Département de physique > Physique statistique
Poncin, Pascal ; Université de Liège - ULiège > Département des sciences et gestion de l'environnement > Biologie du comportement - Ethologie et psychologie animale
Language :
English
Title :
A video multitracking system for quantification of individual behavior in a large fish shoal: Advantages and limits
Publication date :
2009
Journal title :
Behavior Research Methods
ISSN :
1554-351X
eISSN :
1554-3528
Publisher :
Psychonomic Society, Austin, United States - Texas
Volume :
41
Issue :
1
Pages :
228-235
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
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