TY - JOUR
T1 - Frequency analysis of a bumblebee (Bombus impatiens) wingbeat
AU - Santoyo, Joaquín
AU - Azarcoya, Willy
AU - Valencia, Manuel
AU - Torres, Alfonso
AU - Salas, Joaquín
N1 - Publisher Copyright:
© 2015, Springer-Verlag London.
PY - 2016/5/1
Y1 - 2016/5/1
N2 - The wingbeat of an insect relates directly to energy consumption, is a strong indicator of its rate of metabolism and physical structure, and inversely relates to the length of its wing and to the mass of its body. It is also a principal component in understanding the aerodynamic properties of its flight. In this paper, we introduce a method based on the use of high-speed cameras and computer vision techniques to analyze a bumblebee (Bombus impatiens) wingbeat. We start capturing images with a virtual stereo system when a bumblebee crosses two intersecting laser beams. Then, we detect moving objects using background subtraction. Next, via Fourier analysis of the observed optical flow contraction/expansion, and marginalization of prior knowledge, we estimate the wingbeat frequency. Finally, the information from the two virtual cameras is fused using a robust state estimation. Our system is well prepared to handle occlusions; it works with untethered insects; and it does not require the synchronization of a multi-camera system.
AB - The wingbeat of an insect relates directly to energy consumption, is a strong indicator of its rate of metabolism and physical structure, and inversely relates to the length of its wing and to the mass of its body. It is also a principal component in understanding the aerodynamic properties of its flight. In this paper, we introduce a method based on the use of high-speed cameras and computer vision techniques to analyze a bumblebee (Bombus impatiens) wingbeat. We start capturing images with a virtual stereo system when a bumblebee crosses two intersecting laser beams. Then, we detect moving objects using background subtraction. Next, via Fourier analysis of the observed optical flow contraction/expansion, and marginalization of prior knowledge, we estimate the wingbeat frequency. Finally, the information from the two virtual cameras is fused using a robust state estimation. Our system is well prepared to handle occlusions; it works with untethered insects; and it does not require the synchronization of a multi-camera system.
KW - Bombus impatiens
KW - Insect flapping frequency
KW - Optical flow analysis
KW - Wingbeat analysis
UR - http://www.scopus.com/inward/record.url?scp=84938124907&partnerID=8YFLogxK
U2 - 10.1007/s10044-015-0501-3
DO - 10.1007/s10044-015-0501-3
M3 - Artículo
SN - 1433-7541
VL - 19
SP - 487
EP - 493
JO - Pattern Analysis and Applications
JF - Pattern Analysis and Applications
IS - 2
ER -