2020
DOI: 10.1016/j.zool.2020.125800
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Step by step and frame by frame – Workflow for efficient motion tracking of high-speed movements in animals

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Cited by 13 publications
(12 citation statements)
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“…Complex environmental factors in moving background, such as holes and noise, will have a negative impact on human motion [7]. e current conventional background segmentation technologies, such as background reduction algorithm, inter-frame difference algorithm, motion field algorithm based on human motion, etc., all have serious convergence and background extraction defects [8,9]. erefore, how to extract the contour of the moving object efficiently and reasonably and recognize the corresponding gait of the moving object completely is the key and hotspot of human motion tracking.…”
Section: Introductionmentioning
confidence: 99%
“…Complex environmental factors in moving background, such as holes and noise, will have a negative impact on human motion [7]. e current conventional background segmentation technologies, such as background reduction algorithm, inter-frame difference algorithm, motion field algorithm based on human motion, etc., all have serious convergence and background extraction defects [8,9]. erefore, how to extract the contour of the moving object efficiently and reasonably and recognize the corresponding gait of the moving object completely is the key and hotspot of human motion tracking.…”
Section: Introductionmentioning
confidence: 99%
“…The footage was captured with a resolution of 1024 x 1024 pixels at 5400 frames per second and saved as a 16-Bit TIFF image stack. For further analysis, the prementum was tracked using Adobe After Effects CS6 (Adobe Systems Software, San José, CA, USA) according to Koehnsen et al (2020). One Tracker (Tracker A) was placed at the prementum-postmentum joint and a second tracker (Tracker B) was placed at the joint between prementum and labial palps (highlighted in figure 1 and supplementary figure 1).…”
Section: High-speed Videography and Motion Trackingmentioning
confidence: 99%
“…Frame by frame data on the position of the prehensile labial mask was obtained from five individuals of Anax sp. using the workflow described by Koehnsen et al (42) From tracking coordinates, the angle between head capsule and postmentum, as well as prementum and postmentum were calculated for every frame. Angular velocity was calculated at every 4th frame and Data was smoothed using an 11th order polynomial (Polynomial regression using R, see also supplementary figure S1b).…”
Section: Motion Trackingmentioning
confidence: 99%
“…Energy is stored and later released, leading to an increased peak power output. For more information on the topic we suggest Haldane et al (42).…”
Section: Terminologymentioning
confidence: 99%