本研究主要是利用電腦視覺自動化分析昆蟲實驗平台，進行剛孵化果蠅性別辨識及個體果蠅活動記錄。處女果蠅在果蠅的基因轉植實驗中扮演著相當重要的角色，因此需在果蠅孵化後尚未具有交配能力的六個小時內將果蠅依性別分開放置，藉由果蠅影像之飽和度強度與浮動特徵閥值，定義果蠅頭胸部與公果蠅腹部尾端交尾器之特徵區塊，並配合果蠅身軀擬合橢圓資訊判斷剛孵化果蠅之性別，其中公果蠅判斷準確率超過94%，母果蠅判斷準確率高達100%，成功應用於自動分類果蠅收集器，有效提升處女果蠅收集效率。
有關果蠅活動力部分，利用給定初始值式K-means估算相互接觸果蠅之位置，並搭配運動預測模型與最小能量配對法，完成複數個別果蠅之配對，並分析果蠅個體活動情形與活動散佈機率。本研究能於不標記色點的情況下，同時追蹤十隻移動中的果蠅，並記錄個體移動距離、移動軌跡、空間機率分佈、整體平均移動速率等人眼無法量化之數據，並搭配合理簡化運動模型與改良後，使本方法能夠最快速且準確的分析果蠅活動的各項數據，且能夠同時進行多組實驗分析，大幅提升果蠅實驗效率。

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