Paper Details: Downloads: 2892
Serial Number: P1151712556
Title: Computer Vision in Electronic Beehive Monitoring: In Situ Vision-Based Bee Counting on Langstroth Hive Landing Pads
Authors: Vladimir A. Kulyukin and Sarbajit Mukherjee
Abstract: An in situ computer vision method is presented for omnidirectional bee counting on landing pads of Langstroth beehives used by many apiarists worldwide. Bee counts are computed from static images of beehive landing pads. The presented method automates landing pad localization and improves bee counts through elimination of landing pad skew. Two bee counting algorithms are presented for counting bees on localized landing pads. The first bee counting algorithm is based on the 1D Haar Wavelet Transform. The second algorithm is based on contour analysis. The relative performance of both algorithms is evaluated on a sample of 793 images obtained from two electronic beehive monitoring devices deployed in live Langstorth beehives in northern Utah.
Keywords: Wavelets, Contour Analysis, Object Localization, Haar Transform, Electronic Beehive Monitoring
Journal/Conference: International Journal of Graphics, Vision and Image Processing
Volume: 17
Issue: 1
Submission Date: 3/24/2017 12:00:00 AM
Review Date: 4/28/2017 12:00:00 AM
Publishing Date: 5/27/2017 12:00:00 AM
Article Downloads: 2892
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