Allison Frances Beach, 512506 Meredith Dr, Vienna, VA 22181

2022036, Nov 17, 2022

May 9, 2022

17/739237

- Tysons VA, US
Gang Qian - McLean VA, US
Eduardo Romera Carmena - Madrid, ES
Donald Gerard Madden - Columbia MD, US
Allison Beach - Leesburg VA, US

G06V 20/52
G08B 13/196
G06T 7/20
H04N 7/18

Disclosed are methods, systems, and apparatus for adjusting areas of interest for motion detection in camera scenes. A method includes obtaining a map of false motion event detections using a first area of interest; identifying an overlap area between the map of false detections and the first area of interest; determining a second area of interest that includes portions of the first area of interest and excludes at least a part of the overlap area; obtaining a map of true motion event detections using the first area of interest; determining whether true detections using the second area of interest compared to true detections using the first area of interest satisfies performance criteria; and in response to determining that true detections using the second area of interest compared to true detections using the first area of interest satisfies performance criteria, providing the second area of interest for use in detecting events.

2022033, Oct 20, 2022

Apr 15, 2022

17/721667

- Tysons VA, US
Gang Qian - McLean VA, US
Allison Beach - Leesburg VA, US

G06V 20/52
G06V 10/25
G06V 20/20
G06V 10/46
G06V 10/77

Methods and systems, including computer-readable media, are described for monitoring presence or absence of an object at a property using local region matching. A system generates images while monitoring an area of the property and, based on the images, detects an object in a region of interest in the area. For each of the images: the system iteratively computes interest points for the object using photometric augmentation applied to the image before each iteration of computing the interest points. A digital representation of the region and the object is generated based on interest points that repeat across the images after each application of the photometric augmentation. Based on the digital representation, a set of anchor points are determined from the interest points that repeat across images. Using the set of anchor points, the system detects an absence or a continued presence of the object in the area of the property.

2022031, Oct 6, 2022

Mar 1, 2022

17/683820

- Tysons VA, US
Allison Beach - Leesburg VA, US
Gang Qian - McLean VA, US
Sima Taheri - McLean VA, US
Weihong Yin - Great Falls VA, US
Donald Gerard Madden - Columbia MD, US

G06V 20/40
G06V 20/52
G06V 40/10
G06T 7/246

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for retroactive event detection. The methods, systems, and apparatus include actions of obtaining an image captured by a camera at a current time, determining that the image depicts a change in a region from a previous image captured by the camera at a previous time, 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 determining, based on the determination that the change does not correspond to a previously detected event, whether the images captured by the camera between the current time and the previous time depict an event.

2022025, Aug 11, 2022

Jan 26, 2022

17/585060

- Tysons VA, US
Gang Qian - McLean VA, US
Sima Taheri - McLean VA, US
Sung Chun Lee - Fairfax VA, US
Sravanti Bondugula - Vienna VA, US
Allison Beach - Leesburg VA, US

G06T 7/254

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training an event detector. The methods, systems, and apparatus include actions of identifying a portion of a first interframe difference image that represents motion of an OI, determining that a second interframe difference image represents motion by a non-OI, combining the portion of the first interframe difference image and the second interframe difference image as a third interframe difference image labeled as motion of both an OI and a non-OI, and training an event detector with the third interframe difference image.

2022023, Jul 21, 2022

Dec 21, 2021

17/557941

- Tysons VA, US
Gang Qian - McLean VA, US
Allison Beach - Leesburg VA, US

G06V 10/24
G06T 7/73
G06T 7/55
G06V 10/25
G06V 10/22

Disclosed are methods, systems, and apparatus for object localization in video. A method includes obtaining a reference image of an object; generating, from the reference image, homographic adapted images showing the object at various locations with various orientations; determining interest points from the homographic adapted images; determining locations of an object center in the homographic adapted images relative to the interest points; obtaining a sample image of the object; identifying matched pairs of interest points, each matched pair including an interest point from the homographic adapted images and a matching interest point in the sample image; and determining a location of the object in the sample image based on the locations of the object center in the homographic adapted images relative to the matched pairs. The method includes generating a homography matrix; and projecting the reference image of the object to the sample image using the homography matrix.

2023012, Apr 27, 2023

Oct 17, 2022

17/967409

- Tysons VA, US
Allison Beach - Leesburg VA, US

G06T 7/80
G06T 7/60
G06T 7/73
G06T 3/60
G06V 10/75
G06V 10/74

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for extrinsic camera calibration using a calibration object. One of the methods includes: determining physical locations of interest points of a calibration object in a calibration object centered coordinate system; determining pixel locations of the interest points in an image of the calibration object captured by a camera; determining, using the pixel locations and the physical locations, a transformation from the calibration object centered coordinate system to a camera centered coordinate system; and determining, using the transformation, a camera tilt angle and a camera mount height of the camera for use in analyzing images captured by the camera.

2023011, Apr 13, 2023

Oct 7, 2022

17/962108

- Tysons VA, US
Donald Gerard Madden - Columbia MD, US
Allison Beach - Leesburg VA, US
Narayanan Ramanathan - Chantilly VA, US
Daniel Todd Kerzner - McLean VA, US

H04N 7/18
G06T 7/246

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for detecting packages delivering in the camera's blindspot. One of the methods includes detecting, using one or more images captured by a camera at a property, movement in an area of interest i) at the property, ii) that is included in a field of view of the camera and iii) was generated using historical data for packages delivered to the property; determining, using the detected movement in the area of interest, that a package was likely delivered; and in response to determining that the package was likely delivered, performing one or more automated actions for the package.

2023011, Apr 13, 2023

Oct 4, 2022

17/959713

- Tysons VA, US
Sravanthi Bondugula - Vienna VA, US
Allison Beach - Leesburg VA, US
Eduardo Romera Carmena - Madrid, ES

G06T 7/246
G06T 3/40
G06V 10/77

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for spatial motion attention for intelligent video analytics. One of the methods includes: obtaining an input image of a region; generating a motion image that characterizes a difference between a value of a pixel at the pixel location in the input image and a value of a pixel at the pixel location in the reference image; generating a feature map using the input image; generating, using the motion image and the feature map, a motion enhanced feature map that has, for one or more pixels that likely indicate movement, a first value that a) indicates that the corresponding pixel in the motion enhanced feature map likely indicates movement and b) is different from a second value for a corresponding pixel in the feature map; and analyzing the motion enhanced feature map.