Pei Yu

US Patent:

20230036402, Feb 2, 2023

Filed:

Jul 22, 2021

Appl. No.:

17/383362

Inventors:

- Redmond WA, US
Zicheng LIU - Bellevue WA, US
Ying JIN - Kirkland WA, US
Hongli DENG - Bellevue WA, US
Kun LUO - Redmond WA, US
Pei YU - Bellevue WA, US
Yinpeng CHEN - Sammamish WA, US

International Classification:

G06K 9/20
G06K 9/00
G06T 7/70

Abstract:

To improve the accuracy and efficiency of object detection through computer digital image analysis, the detection of some objects can inform the sub-portion of the digital image to which subsequent computer digital image analysis is directed to detect other objects. In such a manner object detection can be made more efficient by limiting the image area of a digital image that is analyzed. Such efficiencies can represent both computational efficiencies and communicational efficiencies arising due to the smaller quantity of digital image data that is analyzed. Additionally, the detection of some objects can render the detection of other objects more accurate by adjusting confidence thresholds based on the detection of those related objects. Relationships between objects can be utilized to inform both the image area on which subsequent object detection is performed and the confidence level of such subsequent object detection.