IP Library Granted Patent US 11,373,385
Granted Patent B2
US 11,373,385 · App. 16/553,281 · Granted Jun 28, 2022

Person recognition device and method

Inventors: Damian Koesters (Pfungstadt, DE); Gregor Blott (Salzgitter, DE)
Assignee: Robert Bosch GmbH
G06V10/143G06T7/40G06T7/97G06V10/22G06V10/56G06V40/103G06V40/172H04N13/239G06T2207/10012G06T2207/10048G06T2207/20224H04N2013/0074
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Quick Facts
Patent No.
US 11,373,385
App. No.
16/553,281
Granted
Jun 28, 2022
Kind
B2
Abstract

Person recognition device for person re-identification in a monitoring region, having a camera apparatus and an evaluation module, wherein the camera apparatus comprises a first camera unit and a second camera unit, wherein the first camera unit is configured to record a first monitoring image of a portion of the monitoring region, wherein the second camera unit is configured to record a second monitoring image of the portion of the monitoring region, wherein the camera apparatus is configured to feed the first monitoring image and the second monitoring image to the evaluation module, wherein the evaluation module is configured to re-identify a person in the monitoring region based on the first monitoring image and the second monitoring image, wherein the second camera unit has a cut-off filter for wavelength cutting of incident light in a stop band.

Claims (16)

1. A person recognition device ( 1 ) for person re-identification in a monitoring region ( 5 ), having a camera apparatus and an evaluation module ( 4 ), wherein the camera apparatus comprises a first camera unit ( 2 ) and a second camera unit ( 3 ), wherein the first camera unit ( 2 ) is configured to record a first monitoring image ( 11 ) of a portion ( 8 ) of the monitoring region ( 5 ) in a visible range and an infrared range, wherein the second camera unit ( 3 ) is configured to record a second monitoring image ( 11 ) of the portion ( 8 ) of the monitoring region ( 5 ) in the visible range, the second camera unit ( 3 ) including a cut-off filter ( 13 ) configured to filter out the infrared range in recording the second image,

wherein the camera apparatus is configured to feed the first monitoring image ( 11 ) and the second monitoring image ( 12 ) to the evaluation module ( 4 ),

wherein the evaluation module ( 4 ) is configured to generate a difference image of the first image and the second image by performing a weighted subtraction between the first monitoring image ( 11 ) and the second monitoring image ( 12 ), the weighted subtraction including transforming identical regions from an object space into identical regions in an image space, re-identify a person ( 9 ) in the monitoring region ( 5 ) based on a difference image of the portion ( 8 ) of the monitoring region ( 5 ) in the infrared range, the difference image being produced from the first monitoring image ( 11 ) and the second monitoring image ( 12 ), and to re-identify the person ( 9 ) based on textile features.

2. The person recognition device ( 1 ) according to claim 1 , wherein a channel of the difference image of the portion ( 8 ) is in a stop band of the cut-off filter.

3. The person recognition device ( 1 ) according to claim 2 , wherein the cut-off filter ( 13 ) forms an infrared cut-off filter and the difference image forms an IR channel image.

4. The person recognition device ( 1 ) according to claim 1 , wherein the camera apparatus forms a stereo camera for stereoscopic evaluation and/or the evaluation module ( 4 ) is configured to generate a stereo image based on the first monitoring image ( 11 ) and the second monitoring image ( 12 ).

5. The person recognition device ( 1 ) according to claim 4 , wherein the evaluation module ( 4 ) is configured to re-identify the person ( 9 ) in the monitoring region ( 5 ) based on the stereo image and/or the stereoscopic evaluation.

6. The person recognition device ( 1 ) according to claim 1 , wherein the monitoring region ( 5 ) and/or the portion ( 8 ) of the monitoring region ( 5 ) forms an expanded near range and/or far range.

7. The person recognition device ( 1 ) according to claim 1 , wherein the evaluation module ( 4 ) is configured to re-identify the person ( 9 ) based on color features.

8. The person recognition device ( 1 ) according to claim 1 , wherein the evaluation module ( 4 ) is configured to segment a person ( 9 ) in the first monitoring image ( 11 ), in the second monitoring image ( 12 ) and/or in a channel image ( 14 ) and to determine a clothing region and re-identify the person ( 9 ) based on the clothing region.

9. The person recognition device ( 1 ) according to claim 1 , wherein the evaluation module ( 4 ) has fabric and/or texture data in a reference database.

10. The person recognition device ( 1 ) according to claim 9 , wherein the fabric and/or texture data comprise information relating to a reflection behavior of the fabric of colors into a stop band of the cut-off filter.

11. The person recognition device ( 1 ) according to claim 1 , wherein the evaluation module ( 4 ) is configured to re-identify the person ( 9 ) based on facial features and the difference image.

12. A method for re-identification of a person ( 9 ) in a monitoring region ( 5 ), wherein a first monitoring image ( 11 ) of a portion ( 8 ) of the monitoring region ( 5 ) is recorded in a visible range and an infrared range using a first camera unit ( 2 ) and a second monitoring image ( 12 ) of the portion ( 8 ) of the monitoring region ( 5 ) is recorded in the visible range using a second camera unit ( 3 ), wherein the second monitoring image ( 12 ) is recorded with a cut-off filter ( 13 ) configured to filtering out the infrared range in recording the second image, wherein a person ( 9 ) that is to be re-identified is determined in the portion ( 8 ) and/or a search for a person ( 9 ) that is to be re-identified is performed in the portion ( 8 ) based on a difference image of the portion ( 8 ) of the monitoring region ( 5 ) in the infrared range, the difference image being produced from the first monitoring image ( 11 ) and the second monitoring image ( 12 ), and wherein the difference image of the first image and the second image is generated by performing a weighted subtraction between the first monitoring image ( 11 ) and the second monitoring image ( 12 ), the weighted subtraction including transforming identical regions from an object space into identical regions in an image space.

13. The method of claim 12 , wherein the person ( 9 ) is located more than twenty meters away from the device ( 1 ).

14. The person recognition device of claim 1 , wherein the person ( 9 ) is located more than twenty meters away from the device ( 1 ).

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 6, 2019
From: KOESTERS, DAMIAN; BLOTT, GREGOR
To: ROBERT BOSCH GMBH
Reel/Frame 050288/0592 →
Priority Claims (1)
DE 10 2018 214 699.3 · Aug 30, 2018 · national
Continuity (1)
Related Publication 20200074204A1 · Mar 5, 2020