Abstract:
In this study, we present a new approach to track multiple insects especially the Opisina arenosella larva which is elastomeric in nature. This study demonstrates the use of image processing techniques for segmenting insects, a detailed procedure for separating the head and tail sections from the larva trunk to minimize the errors due to deformation, invariant moment features to establish correspondence across frames to arrange insect parts in order. This study automates the host searching behavior of parasitoid Goniozus nephantidis which are used for biological control programs.
N. Ravi Kumar, T.N. Janakiraman, Hemalatha Thiagarajan and K. Subaharan, 2007. Automated Motion Tracking of Insects Using Invariant Moments in Image Sequence. Information Technology Journal, 6: 1264-1269.
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