摘要
针对监控视频帧复制篡改,提出一种基于时空域特征的篡改检测算法.受空域局部二值模式(LBP)算子设计的启发,设计一种时域TCS-LBP算子,反映当前视频帧与其前后若干帧在同一空间位置像素之间的关系;然后在当前图像上逐点计算TCS-LBP特征值,构造能同时反映当前视频帧时域和空域特征的特征图像;利用特征图像,逐帧检测是否存在帧复制;对于初步检测到的篡改区域,再进行虚警和漏检的修正以及篡改边界的精确定位.实验结果表明,文中算法具有良好的性能,与现有的2种同类算法相比,性能明显提升.
A spatial and temporal feature-based detection algorithm is proposed for surveillance video duplication detection. Motivated by the design of LBP(Local Binary Patterns) operator,we design a temporal domain CenterSymmetric Local Binary Pattern(TCS-LBP) operator which can reflect the relationship between the pixel on the current frame and those pixels on its front and back frames in the same spatial location. By calculating the TCS-LBP value pixel-by-pixel on the current frame,we construct its correspondent feature image which can reflect both spatial and temporal features of the current frame. The feature image is thus used for detecting video duplication frameby-frame. For the obtained results,we propose schemes for false alarms removal and missing detection correction.Finally,we accurately determine the boundaries of forgery region. Experimental results demonstrate that the proposed algorithm has good performance. It well outperforms the two similar algorithms in the literature.
引文
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