Smart Vision & and Sensing
Department of System Cybernetics, Graduate School of Advanced Science and Engineering
HFR-video-based Honeybee Activity Sensing
This study realizes the tracking of honey bees flying in a natural scene by inspecting the periodic changes in the brightness at pixels around their wings that were flapping at hundreds of Hertz in a high-frame-rate video. The periodic changes in brightness are extracted by executing short-time Fourier transforms at all pixels, and the pixels detected as vibrational ones are identified as several labeled regions with connected component labeling, corresponding to multiple honeybees; the trajectories of the honeybees are monitored with their time-frequency responses as their flight activities. We demonstrate the performance of the honeybee activity sensing when a 4 m x 4 m scene around a beehive was captured as 1024×1024 images at 2000 fps, in which one pixel corresponded to 4 mm; 12-14-mm-size flying honeybees were correctly tracked when their appearances were not as obvious in the images.
|mp4 movie(1.8 MB)
input video (1000fps)
|mp4 movie(0.3 MB)
extracted vibration region