US 11,989,869 B2
Method and device for determining authenticity of a video
Viktor Edpalm, Lund (SE); and Song Yuan, Lund (SE)
Assigned to AXIS AB, Lund (SE)
Filed by Axis AB, Lund (SE)
Filed on Jul. 20, 2021, as Appl. No. 17/380,127.
Claims priority of application No. 20193417 (EP), filed on Aug. 28, 2020.
Prior Publication US 2022/0067909 A1, Mar. 3, 2022
Int. Cl. G06K 9/00 (2022.01); G06T 1/00 (2006.01); G06T 7/00 (2017.01); G06T 7/20 (2017.01)
CPC G06T 7/0002 (2013.01) [G06T 1/0028 (2013.01); G06T 7/20 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/30168 (2013.01); G06T 2207/30232 (2013.01)] 13 Claims
OG exemplary drawing
 
1. A method for determining authenticity of a video in a surveillance system,
the method comprising:
capturing a sequence of image frames of a scene,
tracking an object in the sequence of image frames,
choosing from the sequence of image frames a first image frame and a second image frame based on an object identified in the first image frame having moved at least a predetermined distance between the first image frame and the second image frame,
determining a current image quality measure in an image area corresponding to the tracked object in at least the first image frame and the second image frame of the image frames in which the object is tracked,
identifying a current image quality measure variation for the object from the determined current image quality measure in the first image frame and the second image frame, the image quality measure variation describing the determined current image quality measure as a function of position of the object in the first and second image frames,
comparing the current image quality measure variation to a known image quality measure variation, and
in response to the current image quality measure variation deviating from the known image quality measure variation by less than a first predetermined amount, determining that the video is authentic,
wherein the determined current image quality measure is at least one from a group consisting of pixel contrast, focus, motion blur, pixel range fill, and noise level.