Quadruped locomotion analysis using three-dimensional video

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Abdul Jabbar, K. , Hansen, M. F. , Smith, M. and Smith, L. (2017) Quadruped locomotion analysis using three-dimensional video. In: IEEE ICSAE Conference, Newcastle, UK, 20-21 October 2016. 2016 International Conference for Students on Applied Engineering (ICSAE): IEEE Available from: http://eprints.uwe.ac.uk/29843

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Abstract— To date, there has not been a single method suitable for large-scale or regular-basis implementation to analyze the locomotion of quadruped animals. Existing methods are not sensitive enough for detecting minor deviations from healthy gaits. That is important because these minor deviations could develop into a severe painful lameness condition. We introduce a dynamic novel proxy for early stage lameness by analyzing the height movements from an overhead-view 3D video data. These movements are derived from key regions (e.g. spine, hook joints, and sacroiliac joint). The features to these key regions are automatically tracked using shape index and curvedness threshold from the 3D map. Our system is fully automated, covert and non-intrusive. This directly affects the accuracy of the analysis as we are able to observe the animals without spooking them. We believe that our proposed method could be used on other animals, i.e. predator quadrupeds where human presence is difficult.

Item Type: Conference or Workshop Item (Paper)
Additional Information: (c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Uncontrolled Keywords: quadruped locomotion, lameness detection, 3D computer vision
Faculty/Department: Faculty of Environment and Technology > Department of Engineering Design and Mathematics
Depositing User: Professor M. Smith
Date Deposited: 15 Sep 2016 11:07
Last Modified: 28 Apr 2017 13:52
URI: http://eprints.uwe.ac.uk/id/eprint/29843


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