Mark David Jamtgaard

US Patent:

8615254, Dec 24, 2013

Filed:

Aug 17, 2011

Appl. No.:

13/211969

Inventors:

Mark Jamtgaard - Mountain View CA, US
Nathan Mueller - Mountain View CA, US

Assignee:

NearBuy Systems, Inc. - San Mateo CA

International Classification:

H04W 24/00
H04N 7/18
G06T 15/10
G06K 9/00

US Classification:

4554561, 348143, 345427, 382107

Abstract:

According to some implementations, an estimate of a target's location can be calculated by correlating Wi-Fi and video location measurements. This spatio-temporal correlation combines the Wi-Fi and video measurements to determine an identity and location of an object. The accuracy of the video localization and the identity from the Wi-Fi network provide an accurate location of the Wi-Fi identified object.

US Patent:

20120044355, Feb 23, 2012

Filed:

Aug 17, 2011

Appl. No.:

13/212000

Inventors:

Mark Jamtgaard - Mountain View CA, US
Nathan Mueller - Mountain View CA, US

Assignee:

NEARBUY SYSTEMS, INC. - Menlo Park CA

International Classification:

H04N 5/38

US Classification:

348159, 348E07086

Abstract:

In some implementations, video camera networks can be used to track people or objects and determine their locations. In some implementations, location accuracy better than one meter can be achieved using video cameras. According to some implementations, Wi-Fi localization and video localization systems can be fused together to perform calibration. In some implementations, by using the video network to continuously update the Wi-Fi localization calibration database, Wi-Fi location accuracy can be improved.

US Patent:

6430624, Aug 6, 2002

Filed:

Feb 14, 2000

Appl. No.:

09/503797

Inventors:

Mark Jamtgaard - Mountain View CA
Jacob Sullivan - San Francisco CA
Tyler Kohn - Mountain View CA

Assignee:

Air2Web, Inc. - Atlanta GA

International Classification:

G06F 15173

US Classification:

709246, 709217

Abstract:

A content delivery system and method are provided in which different types of content may be delivered to different information appliances having different protocols and different browser specifications. The system permits internet content providers to create a single piece of content that is re-formatted automatically for the different information appliances.

US Patent:

20200242784, Jul 30, 2020

Filed:

Apr 13, 2020

Appl. No.:

16/846912

Inventors:

- San Jose CA, US
Mark Jamtgaard - Mountain View CA, US
Arun Nair - San Jose CA, US

Assignee:

RetailNext, Inc. - San Jose CA

International Classification:

G06T 7/285
G06T 17/10
G06T 11/20
G06T 7/60
G06Q 30/02
G06T 7/70
G06T 7/80
G06T 7/593
G06T 7/292
G06T 7/246
G06T 7/77

Abstract:

Various embodiments are disclosed for detecting, tracking and counting objects of interest in video. In an embodiment, a method of detecting and tracking objects of interest comprises: obtaining, by a computing device, multiple frames of images from an image capturing device; detecting, by the computing device, objects of interest in each frame; accumulating, by the computing device, multiple frames of object detections; creating, by the computing device, object tracks based on a batch of object detections over multiple frames; and associating, by the computing device, the object tracks over consecutive batches.

US Patent:

20190325588, Oct 24, 2019

Filed:

Nov 15, 2018

Appl. No.:

16/192440

Inventors:

- San Jose CA, US
Mark Jamtgaard - Mountain View CA, US
Arun Nair - San Jose CA, US

International Classification:

G06T 7/285
G06Q 30/02
G06T 7/60
G06T 7/292
G06T 7/70
G06T 7/593
G06T 7/246
G06T 7/77
G06T 7/80
G06T 17/10
G06T 11/20

Abstract:

Various embodiments are disclosed for detecting, tracking and counting objects of interest in video. In an embodiment, a method of detecting and tracking objects of interest comprises: obtaining, by a computing device, multiple frames of images from an image capturing device; detecting, by the computing device, objects of interest in each frame; accumulating, by the computing device, multiple frames of object detections; creating, by the computing device, object tracks based on a batch of object detections over multiple frames; and associating, by the computing device, the object tracks over consecutive batches.

US Patent:

20190205643, Jul 4, 2019

Filed:

Dec 26, 2018

Appl. No.:

16/233030

Inventors:

- San Jose CA, US
Imran Saleemi - San Jose CA, US
Mark Jamtgaard - Mountain View CA, US

International Classification:

G06K 9/00
G06N 3/04
G06N 3/08
G06T 7/73
G06K 9/62
G06K 9/46
G06T 7/246
G06Q 30/06

Abstract:

Various embodiments are disclosed for simultaneous object localization and attribute classification using multitask deep neural networks. In an embodiment, a method comprises: obtaining, by a processing circuit, an image from an image capture device in an environment, the image including a target object in the environment; generating, by the processing circuit, predictions from the image for the target object using a multitask deep neural network, the multitask deep neural network including a network trunk and side branches, the network trunk configured for multi-scale feature extraction guided by supervision information provided by the side branches during training of the multitask deep neural network, the side branches configured as learning task-specific classifiers; and using, by the processing circuit, the predictions to localize the target object in the environment and to classify the target object and at least one attribute of the target object.

US Patent:

20190206066, Jul 4, 2019

Filed:

Dec 26, 2018

Appl. No.:

16/232954

Inventors:

- San Jose CA, US
Mark Jamtgaard - San Jose CA, US
Dong Liu - Berkeley CA, US

International Classification:

G06T 7/246
G06K 9/00
G06T 7/593
G06K 9/62

Abstract:

Various embodiments are disclosed for detecting, tracking and counting objects of interest in video frames using fusion of image and depth modalities. In an embodiment, a method comprises: obtaining multiple frames of stereo image pairs from an image capturing device; rectifying each frame of the stereo image pairs; computing a stereo disparity for each frame of the stereo image pairs; determining a first set of object detections in each frame using the computed stereo disparity; determining a second set of object detections in each left or right frame of the stereo image pair using one or more machine learning models; fusing the first and second sets of object detections; and creating tracks based on the fused object detections.

US Patent:

20170206669, Jul 20, 2017

Filed:

Jan 13, 2017

Appl. No.:

15/405859

Inventors:

- San Jose CA, US
Mark Jamtgaard - Mountain View CA, US
Arun Nair - San Jose CA, US

International Classification:

G06T 7/285
G06T 7/593
G06T 7/60
G06Q 30/02
G06T 7/80
G06T 17/10
G06T 11/20
G06T 7/292
G06T 7/70

Abstract:

Various embodiments are disclosed for detecting, tracking and counting objects of interest in video. In an embodiment, a method of detecting and tracking objects of interest comprises: obtaining, by a computing device, multiple frames of images from an image capturing device; detecting, by the computing device, objects of interest in each frame; accumulating, by the computing device, multiple frames of object detections; creating, by the computing device, object tracks based on a batch of object detections over multiple frames; and associating, by the computing device, the object tracks over consecutive batches.