Rat Paw Tracking for Detailed Motion Analysis

Summary, in English

This work is part of a research project studying

the learning of fine motor skills in rats. A system for tracking

a rat paw using a system of high-speed cameras is presented

along with preliminary analysis of the correlation between paw

movement and neural data. The tracking method is generative,

modeling the rat paw as a set of linked ellipsoids. To find the most

probable paw pose a number of hypothetical parameter values are

explored. For each set of values the paw model is projected in the

different cameras and compared to the actual measured images.

The pose that is most consistent with the intensity and edge

information in the different views is chosen. By efficient utilization

of integral images, this evaluation can be performed very quickly,

creating a tractable and completely automatic method with good

performance.

• Author: Tobias Palmér; Karl Åström; Olof Enqvist; Nedjeljka Ivica; Per Petersson
• Department/s: Mathematical Imaging Group; ELLIIT: the Linköping-Lund initiative on IT and mobile communication; Mathematics (Faculty of Engineering); Integrative Neurophysiology; MultiPark: Multidisciplinary research focused on Parkinson´s disease
• Publishing year: 2014
• Language: English
• Full text: - 4 MB; Download statistics
• Document type: Conference paper
• Topic: Mathematics
• Keywords: Animal Tracking; Computer Vision; Machine Learning
• Conference name: Visual observation and analysis of Vertebrate And Insect Behavior 2014
• Conference date: 2014-08-24
• Conference place: Stockholm, Sweden
• Status: Published
• Research group: Mathematical Imaging Group; Integrative Neurophysiology