Detection of pollen bearing honey bees in hive entrance images

doi:10.1109/INFOTEH.2018.8345546

Paper

Detection of pollen bearing honey bees in hive entrance images

Published Mar 21, 2018 · Vladan Stojnić, V. Risojevic, Ratko Pilipović

2018 17th International Symposium INFOTEH-JAHORINA (INFOTEH)

13

Citations

1

Influential Citations

Full textSemantic Scholar

Abstract

Automatic detection of pollen bearing honey bees can provide information important both for pollination monitoring and for assessing health and strength of a beehive. In this paper we analyze some of the methods for detection of pollen bearing honey bees in images obtained at hive entrance. The proposed approach is divided into two parts. In the first part we segment honey bees from images. To this end we analyze two segmentation methods based on color descriptors. Then in the second part we use these segmented regions to classify the bees into two classes with or without pollen. Classification is conducted using SVMs trained on few variations of VLAD-encoded SIFT descriptors. On a dataset of images acquired at the hive entrance, we obtain 0.7971 IoU score for segmentation, and 0.9150 AUC score for classification.

Study Snapshot

Our approach using color descriptors and SVMs effectively detects pollen-bearing honey bees in hive entrance images, aiding in pollination monitoring and beehive health assessment.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

Detection of pollen bearing honey bees in hive entrance images

References

Citations