Captive Animal Behavior Study by Video Analysis

Three video analysis-based applications for the study of captive animal behavior are presented. The aim of the first one is to provide certain parameters to assess drug efficiency by analyzing the movement of a rat. The scene is a three-chamber plastic box. First, the rat can move only in the middle...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2023-09, Vol.23 (18), p.7928
Main Authors: Rotaru, Florin, Bejinariu, Silviu-Ioan, Costin, Hariton-Nicolae, Luca, Ramona, Niţă, Cristina Diana
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Animal behavior
Animal cognition
Behavior
Deep learning
Laboratory animals
Methods
Neurosciences
Rodents
stress detection
Stress state
trajectory analysis
video tracking
Zoos
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Summary:Three video analysis-based applications for the study of captive animal behavior are presented. The aim of the first one is to provide certain parameters to assess drug efficiency by analyzing the movement of a rat. The scene is a three-chamber plastic box. First, the rat can move only in the middle room. The rat’s head pose is the first parameter needed. Secondly, the rodent could walk in all three compartments. The entry number in each area and visit duration are the other indicators used in the final evaluation. The second application is related to a neuroscience experiment. Besides the electroencephalographic (EEG) signals yielded by a radio frequency link from a headset mounted on a monkey, the head placement is a useful source of information for reliable analysis, as well as its orientation. Finally, a fusion method to construct the displacement of a panda bear in a cage and the corresponding motion analysis to recognize its stress states are shown. The arena is a zoological garden that imitates the native environment of a panda bear. This surrounding is monitored by means of four video cameras. We have applied the following stages: (a) panda detection for every video camera; (b) panda path construction from all routes; and (c) panda way filtering and analysis.
ISSN:1424-8220
1424-8220
DOI:10.3390/s23187928