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Systems and processes for video spoof detection based on liveliness evaluation

机译:基于生动度评估的视频欺骗检测系统和过程

摘要

The present invention provides a process for determining whether a video for a biometric feature is a spoofed or live recording of a live biometric feature, the process comprising: - pre-processing (200) the video; (J) for each frame of the plurality of frames (j), and determining the score of each frame of the set of preceding frames based on the motion intensity of the current frame (j) Calculating (322,325) the difference between motion intensities; deriving (324,326) the differential motion intensity of the current frame from the difference; calculating motion of the video from differential motion strengths of the plurality of frames Comparing the motion intensity to a predetermined threshold value (340), comparing the motion intensity to a predetermined threshold value (340), comparing the motion intensity to a predetermined threshold value Comprising the step of assigning a score lively, - a step (400) in accordance with lively score of the video, determine whether the video recording is that the spoofing of the biometric characteristics or genuine recording.
机译:本发明提供了一种用于确定用于生物特征的视频是真实生物特征的欺骗还是实时记录的过程,该过程包括:-预处理(200)视频; (J)对于多个帧(j)中的每个帧,并且基于当前帧的运动强度来确定该组先前帧中的每个帧的得分(j)计算(322,325)运动强度之间的差;从该差得出(324,326)当前帧的差运动强度;根据多个帧的差分运动强度计算视频的运动将运动强度与预定阈值进行比较(340),将运动强度与预定阈值进行比较(340),将运动强度与预定阈值进行比较活泼地分配分数的步骤,-根据视频的活泼分数,在步骤(400)中,确定视频记录是欺骗生物特征还是真正的记录。

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