Allison Beach

US Patent:

20220366696, Nov 17, 2022

Filed:

May 9, 2022

Appl. No.:

17/739237

Inventors:

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

International Classification:

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

Abstract:

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.

US Patent:

20220335725, Oct 20, 2022

Filed:

Apr 15, 2022

Appl. No.:

17/721667

Inventors:

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

International Classification:

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

Abstract:

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.

US Patent:

20220254037, Aug 11, 2022

Filed:

Jan 26, 2022

Appl. No.:

17/585060

Inventors:

- 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

International Classification:

G06T 7/254

Abstract:

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.

US Patent:

20220230410, Jul 21, 2022

Filed:

Dec 21, 2021

Appl. No.:

17/557941

Inventors:

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

International Classification:

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

Abstract:

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.

US Patent:

20230110877, Apr 13, 2023

Filed:

Oct 7, 2022

Appl. No.:

17/962108

Inventors:

- 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

International Classification:

H04N 7/18
G06T 7/246

Abstract:

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.

US Patent:

20230111865, Apr 13, 2023

Filed:

Oct 4, 2022

Appl. No.:

17/959713

Inventors:

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

International Classification:

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

Abstract:

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.

US Patent:

20230081909, Mar 16, 2023

Filed:

Sep 6, 2022

Appl. No.:

17/903484

Inventors:

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

International Classification:

G06V 10/764
G06V 10/771
G06V 10/776

Abstract:

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for objection classification. One of the methods includes: obtaining a first set of images of objects that have a likelihood of being at a property that satisfies a likelihood threshold; generating, for each object, a binary classifier from a set of images of the respective object; determining, using at least one of the binary classifiers, that an image of an unknown object was classified as an object from the objects; in response to determining, using the binary classifiers, that the image of the unknown object was classified as an object from the objects, selecting a second set of images of unknown objects that does not include the image; and generating a multiclass classifier for use classifying objects using i) the first set as respective classes and ii) the second set that does not include the image.

US Patent:

20230054918, Feb 23, 2023

Filed:

Nov 4, 2022

Appl. No.:

17/980715

Inventors:

- Tysons VA, US
Gang Qian - McLean VA, US
Sung Chun Lee - Tysons VA, US
Sravanthi Bondugula - Vienna VA, US
Allison Beach - Leesburg VA, US

International Classification:

G06V 40/20
G06T 7/254
G06N 3/08
G06V 10/98

Abstract:

Methods, systems, and apparatus for motion-based human video detection are disclosed. A method includes generating a representation of a difference between two frames of a video; providing, to an object detector, a particular frame of the two frames and the representation of the difference between two frames of the video; receiving an indication that the object detector detected an object in the particular frame; determining that detection of the object in the particular frame was a false positive detection; determining an amount of motion energy where the object was detected in the particular frame; and training the object detector based on penalization of the false positive detection in accordance with the amount of motion energy where the object was detected in the particular frame.