US 12,243,304 B2
Event detection in video surveillance
Narayanan Ramanathan, Chantilly, VA (US); Allison Beach, Leesburg, VA (US); Gang Qian, McLean, VA (US); Sima Taheri, McLean, VA (US); Weihong Yin, Great Falls, VA (US); and Donald Gerard Madden, Columbia, MD (US)
Assigned to ObjectVideo Labs, LLC, Tysons, VA (US)
Filed by ObjectVideo Labs, LLC, Tysons, VA (US)
Filed on Mar. 1, 2022, as Appl. No. 17/683,820.
Claims priority of provisional application 63/168,461, filed on Mar. 31, 2021.
Prior Publication US 2022/0319172 A1, Oct. 6, 2022
Int. Cl. G06V 20/40 (2022.01); G06T 7/246 (2017.01); G06V 20/52 (2022.01); G06V 40/10 (2022.01)
CPC G06V 20/44 (2022.01) [G06T 7/248 (2017.01); G06V 20/52 (2022.01); G06V 40/10 (2022.01)] 18 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
maintaining, in computer memory, a background image that depicts a scene of a region, was captured by a camera at a first time, and is used to determine an action to perform given a determined change in the scene of the region;
obtaining an image depicting the region and captured by the camera at a second time that is different from the first time;
determining that the image depicts a change in the scene of the region from the background image, wherein determining that the image depicts the change comprises comparing the image to the background image;
determining, based on determining that the image depicts the change in the region, whether the change depicted in the image is of a known object type;
determining, based on the determination that the change depicted in the image is of a known object type, whether the change does not correspond to a previously detected event; and
in response to determining that the change does correspond to a previously detected event, generating an updated background image for the region.