本論文所提出之 PSO 演算法進行多物體之追蹤在實驗結果中，可以改善追 蹤目標物體影像中，移動物體因為大小、形狀變化時所造成的問題。但是因為 PSO 演算法是利用灰階影像直方圖來去計算適應值來去比較物體相似度，因此 如果背景顏色與目標物體影像太過相似的話，會造成速度計算變慢，因此未來 可以再加入影像光流(Lucas-Kanade)、邊緣偵測等作為影像特徵分析的一部份，
藉此讓 PSO 演算法能更準確的追蹤。
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