29P-C-4 Consideration on Effectiveness of Pseudo Training Data in CHLAC Features-based Crows' Movement Detection

Abstract

Ducks fed in rice paddies for rice-duck farming are preyed by injurious birds such as crows. The aims of this study are to detect crows' predation-motion by using time-varying image processing technique, and to prevent the crows' predation. CHLAC feature is useful to detect crows' motions. However, when the target is a wild bird such as a crow, it is difficult to correct large amounts of training data. In this report, we propose the way to improve recognition rate by using pseudo data.