US 11,875,581 B2
Method for generating a monitoring image
Fabian Brickwedde, Braunschweig (DE); Uwe Brosch, Algermissen (DE); Masato Takami, Hildesheim (DE); and Gregor Blott, Salzgitter (DE)
Assigned to ROBERT BOSCH GMBH, Stuttgart (DE)
Filed by Robert Bosch GmbH, Stuttgart (DE)
Filed on Jul. 8, 2021, as Appl. No. 17/370,331.
Claims priority of application No. 10 2020 209 024.6 (DE), filed on Jul. 20, 2020.
Prior Publication US 2022/0019821 A1, Jan. 20, 2022
Int. Cl. G06V 20/59 (2022.01); G06T 7/11 (2017.01); H04N 19/167 (2014.01); G06V 20/52 (2022.01); G06F 18/214 (2023.01); G06F 18/2431 (2023.01)
CPC G06V 20/59 (2022.01) [G06F 18/214 (2023.01); G06F 18/2431 (2023.01); G06T 7/11 (2017.01); G06V 20/52 (2022.01); H04N 19/167 (2014.11); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30232 (2013.01); G06T 2207/30268 (2013.01)] 12 Claims
OG exemplary drawing
 
1. A method for generating a monitoring image, comprising the following steps:
providing an image sequence of surroundings to be monitored using an imaging system;
determining at least one monitoring area and at least one periphery area of at least one image of the image sequence using a learning-based semantic segmentation method;
compressing the monitoring area of the at least one image of the image sequence with a first compression quality; and
compressing the periphery area of the at least one image of the image sequence with a second compression quality to generate the monitoring image, the second compression quality being lower than the first compression quality, wherein a mask for a particular image is generated using the monitoring area and/or periphery area of the particular image, and the monitoring image is generated based on an averaged multitude of masks of a corresponding multitude of respective images of the image sequence.