期刊
JOURNAL OF NEUROSCIENCE METHODS
卷 201, 期 1, 页码 116-123出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jneumeth.2011.07.019
关键词
Locomotion; Depth image; Behavior; Pose reconstruction
资金
- National Science Council, Taiwan [NSC98-2313-B-197-003-MY3]
We herein introduce an automated three-dimensional (3D) locomotion tracking and pose reconstruction system for rodents with superior robustness, rapidity, reliability, resolution, simplicity, and cost. An off-the-shelf composite infrared (IR) range camera was adopted to grab high-resolution depth images (640 x 480 x 2048 pixels at 20 Hz) in our system for automated behavior analysis. For the inherent 3D structure of the depth images, we developed a compact algorithm to reconstruct the locomotion and body behavior with superior temporal and solid spatial resolution. Since the range camera operates in the IR spectrum, interference from the visible light spectrum did not affect the tracking performance. The accuracy of our system was 98.1 +/- 3.2%. We also validated the system, which yielded strong correlation with automated and manual tracking. Meanwhile, the system replicates a detailed dynamic rat model in virtual space, which demonstrates the movements of the extremities of the body and locomotion in detail on varied terrain. (C) 2011 Elsevier B.V. All rights reserved.
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