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Automatic analysis and characterization of the hummingbird wings motion using dense optical flow features

Abstract : A new method for automatic analysis and characterization of recorded hummingbird wing motion is proposed. The method starts by computing a multiscale dense optical flow field, which is used to segment the wings, i.e., pixels with larger velocities. Then, the kinematic and deformation of the wings were characterized as a temporal set of global and local measures: a global angular acceleration as a time function of each wing and a local acceleration profile that approximates the dynamics of the different wing segments. Additionally, the variance of the apparent velocity orientation estimates those wing foci with larger deformation. Finally a local measure of the orientation highlights those regions with maximal deformation. The approach was evaluated in a total of 91 flight cycles, captured using three different setups. The proposed measures follow the yaw turn hummingbird flight dynamics, with a strong correlation of all computed paths, reporting a standard deviation of 0.31rad/f rame 2 and 1.9(rad/f rame) 2 for the global angular acceleration and the global wing deformation respectively.
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https://hal.archives-ouvertes.fr/hal-01245084
Contributor : Antoine Manzanera <>
Submitted on : Wednesday, December 16, 2015 - 4:34:32 PM
Last modification on : Tuesday, November 10, 2020 - 4:56:06 PM
Long-term archiving on: : Thursday, March 17, 2016 - 3:11:50 PM

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Fabio Martínez, Antoine Manzanera, Eduardo Romero. Automatic analysis and characterization of the hummingbird wings motion using dense optical flow features. Bioinspiration and Biomimetics, IOP Publishing, 2015, ⟨10.1088/1748-3190/10/1/016006⟩. ⟨hal-01245084⟩

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