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 |
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.
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