US 11,682,201 B2
Identifying targets within images
Cristina Porcel Magnusson, Madrid (ES)
Assigned to SKANSENSE S.L.U., Madrid (ES)
Appl. No. 16/608,135
Filed by SKANSENSE S.L.U., Madrid (ES)
PCT Filed Apr. 25, 2018, PCT No. PCT/EP2018/060640
§ 371(c)(1), (2) Date Oct. 24, 2019,
PCT Pub. No. WO2018/197585, PCT Pub. Date Nov. 1, 2018.
Claims priority of application No. 17382225 (EP), filed on Apr. 26, 2017; and application No. 17382709 (EP), filed on Oct. 24, 2017.
Prior Publication US 2021/0012508 A1, Jan. 14, 2021
Int. Cl. G06V 20/10 (2022.01); G06T 7/11 (2017.01); G06T 7/194 (2017.01); G06V 30/24 (2022.01)
CPC G06V 20/176 (2022.01) [G06T 7/11 (2017.01); G06T 7/194 (2017.01); G06V 30/248 (2022.01); G06T 2207/10036 (2013.01); G06V 20/194 (2022.01); G06V 30/2528 (2022.01); G06V 2201/07 (2022.01)] 26 Claims
OG exemplary drawing
 
1. A method of detecting an artificial target within an image, the method comprising:
applying to a region of the image a primary classification algorithm for performing a feature extraction of the image region, the primary classification algorithm being based on a spectral profile of a coating applied to the artificial target, the coating comprising one or more spectral signatures in at least part of the infrared spectrum, and the one or more spectral signatures comprising scattered infrared radiation;
obtaining a relation between one or more extracted features of the image region and the spectral profile;
when a first level of confidence of the obtained relation between the one or more extracted features and the spectral profile is higher than a first predetermined confirmation level:
determining that the image region corresponds to an artificial target to be detected, thereby obtaining a confirmed artificial target.