果蠅種類影像辨識及群組互動監測研究

Study on Species Classification of Drosophila and Monitoring of Interactions within Groups

沈彥廷(Yen-Ting Shen)

指導教授 ： 蔡宏營

國立清華大學/工學院/動力機械工程學系/碩士(2014年)

摘要

本研究利用影像處理技術自動化監測不同種類之果蠅群組互動行為，藉由改良子區塊分割的空間金字塔配對與配合投票法，以進行四種果蠅種類辨識，並達到100%的辨識正確率；此外果蠅追蹤能夠實現10隻果蠅同時監測且獨立分析取得果蠅之位置、大小及頭部方向，監測時的果蠅配對錯誤率更是小於0.01%。因此本研究發展之不同種類之果蠅群組互動監測技術能夠有效地降低實驗的人力成本與節省大量時間。
此外，而本研究也提出Drosophila melanogaster於不同種類之果蠅群組互動行為與同種間的互動行為之比較。藉此研究法，發現Drosophila melanogaster於其他三種類的果蠅群組內之平均互動次數較其他種類高，可是並無明顯差異。

關鍵字

果蠅 ； 影像分類 ； 群組互動

並列摘要

This research uses image processing techniques to automatically monitor interactions within groups of different categories of Drosophila. With revised sub-regions of Spatial Pyramid Matching and winner take all method, we achieve 100% recognition rate in four categories of Drosophila. In addition, through drosophila tracking, we are able to monitor 10 Drosophila simultaneously and analyze every individual drosophila to acquire its position, size and heading angle with a rate of mismatching sequential drosophila under 0.01%. Therefore, the interactions within groups of interspecies monitoring which this research developed would efficiently enhance the experiment performance by reducing labor cost and time consumption.
This research proposes the comparison between interspecies and within-species interactions within groups. With the outcome of the interspecies interaction experiment, we come to a conclusion that the average interactions of drosophila melanogaster is higher than the other species of drosophila but there is no statistical significance.

並列關鍵字

Drosophila ； Image Classification ； Interactions within Groups

參考文獻

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