US 12,229,923 B2
Monitoring camera and image quality improving method
Hirotaka Nozaki, Fukuoka (JP); Jun Ikeda, Fukuoka (JP); and Yohei Aoki, Fukuoka (JP)
Assigned to I-PRO CO., LTD., Tokyo (JP)
Filed by PANASONIC I-PRO SENSING SOLUTIONS CO., LTD., Fukuoka (JP)
Filed on Jan. 20, 2022, as Appl. No. 17/580,089.
Claims priority of application No. 2021-008987 (JP), filed on Jan. 22, 2021.
Prior Publication US 2022/0237747 A1, Jul. 28, 2022
Int. Cl. G06T 5/70 (2024.01); G06N 20/00 (2019.01); G06T 5/20 (2006.01); G06T 7/215 (2017.01); H04N 23/81 (2023.01)
CPC G06T 5/70 (2024.01) [G06N 20/00 (2019.01); G06T 5/20 (2013.01); G06T 7/215 (2017.01); H04N 23/81 (2023.01)] 15 Claims
OG exemplary drawing
 
1. A monitoring camera, comprising:
a camera configured to capture a first image of an imaging area; and
a processor configured to detect a moving body portion and a still portion of the first image, the moving body portion including a moving body and being an attention portion in the first image of the imaging area, the still portion being a non-attention portion in the first image of the imaging area;
the processor further configured to determine a first intensity and a second intensity, the first intensity being different from the second intensity, the first intensity being of a first noise reduction processing executed on the attention portion in the first image of the imaging area, the second intensity being of a second noise reduction processing executed on the non-attention portion in the first image,
wherein the first intensity is lower than the second intensity, and
wherein the processor is configured
to execute the first noise reduction processing on the attention portion based on the first intensity,
to execute the second noise reduction processing on the non-attention portion based on the second intensity, and
to output a second image after the first noise reduction processing and the second noise reduction processing are executed, whereby the second image includes plural areas with different intensities of noise reduction processing,
wherein the processor is configured to determine at least one of the first intensity and the second intensity based on an attention level for each type of a subject indicated by the attention portion.