SIFT feature has been widely used in the homologous copy-paste forgery detection. Due to the rejection of color information, it results in some mismatching of key points, so we propose another method based on Colored Scale Invariant Feature Transform (CSIFT), a feature combining variable color information with Scale Invariant Feature Transform (SIFT) when extracting feature points decreasing the possibility of false matching and greatly reducing the time of feature point extraction and matching. In this study, we firstly segment video by Structural Similarity Index Measurement (SSIM) and extract the first frame of every part as the key frame. Then, we extract CSIFT feature points of the key frame and match feature points. After that, we locate copy-paste areas. The final step is a target tracking algorithm used to calculate the copy-paste areas in the following frame sequence. The robustness and efficiency of the algorithm is verified by experiments. Compared with algorithms based on SIFT, the proposed method has higher time efficiency and accuracy.