Image-processing device, surveillance system, method for establishing a scene reference image, and computer program
First Claim
1. An image-processing device for carrying out an object segmentation, comprising:
- means for executing the object segmentation through comparison of a camera image to a received reference image of a surveillance scene;
a learning device for generating the scene reference image, said learning device being configured to generate the scene reference image through evaluation of a medium-term and/or long-term observation of the surveillance scene that occurs in a situation selected from the group consisting of occurring over a time period of longer than one day, occurring over a time period which includes several states of the reference scene, and both,wherein said learning device is configured to generate a scene model, wherein the scene model is a model of a scene that comprises artificial model objects in the form of a virtual world, and wherein said scene model is in the form of a multi-mode scene model and individual modes of said multi-mode scene model are distinguished through different states of the surveillance scene, and wherein the states of the surveillance scene differ with regard to one or more of parameters selected from the group consisting of relative position of a surveillance camera, relative orientation of a surveillance camera, absolute position of a surveillance camera, and absolute orientation of the surveillance camera, wherein the scene model forms the basis for the generation of the scene reference image.
1 Assignment
0 Petitions
Accused Products
Abstract
An image-processing device carries out an object segmentation in which the object segmentation is executed and/or is executable through comparison of a camera image to a scene reference image of a surveillance scene, equipped with a learning device for generating the scene reference image; the learning device generates the scene reference image through evaluation of a medium-term and/or long-term observation of the surveillance scene a) that extends over a time period of longer than one day, preferably longer than several days, in particular longer than 1 week, and/or b) that extends over a time period that includes several states of the surveillance scene.
15 Citations
14 Claims
-
1. An image-processing device for carrying out an object segmentation, comprising:
-
means for executing the object segmentation through comparison of a camera image to a received reference image of a surveillance scene; a learning device for generating the scene reference image, said learning device being configured to generate the scene reference image through evaluation of a medium-term and/or long-term observation of the surveillance scene that occurs in a situation selected from the group consisting of occurring over a time period of longer than one day, occurring over a time period which includes several states of the reference scene, and both, wherein said learning device is configured to generate a scene model, wherein the scene model is a model of a scene that comprises artificial model objects in the form of a virtual world, and wherein said scene model is in the form of a multi-mode scene model and individual modes of said multi-mode scene model are distinguished through different states of the surveillance scene, and wherein the states of the surveillance scene differ with regard to one or more of parameters selected from the group consisting of relative position of a surveillance camera, relative orientation of a surveillance camera, absolute position of a surveillance camera, and absolute orientation of the surveillance camera, wherein the scene model forms the basis for the generation of the scene reference image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
-
-
9. A surveillance system, comprising:
-
an image processing device for carrying out an object segmentation and including means for executing the object segmentation through comparison of a camera image to a received reference image of a surveillance scene; a learning device for generating the scene reference image, said learning device being configured to generate the scene reference image through evaluation of a medium-term and/or long-term observation of the surveillance scene that occurs in a situation selected from the group consisting of occurring over a time period of longer than one day, occurring over a time period which includes several states of the reference scene, and both, wherein said learning device is configured to generate a scene model, wherein the scene model is a model of a scene that comprises artificial model objects in the form of a virtual world, and wherein said scene model is in the form of a multi-mode scene model and individual modes of said multi-mode scene model are distinguished through different states of the surveillance scene, and wherein the states of the surveillance scene differ with regard to one or more of parameters selected from the group consisting of relative position of a surveillance camera, relative orientation of a surveillance camera, absolute position of a surveillance camera, and absolute orientation of the surveillance camera, wherein the scene model forms the basis for the generation of the scene reference image; a plurality of interfaces for connection to surveillance cameras; and an evaluation device that is configured to establish proximity relationship between said surveillance cameras through use of trajectory-based objects. - View Dependent Claims (10)
-
-
11. A method for generating a scene reference image of a surveillance scene for an object segmentation in image processing, comprising the steps of:
-
providing a learning device for generating the scene reference image; generating a scene reference image with said learning device by evaluating a medium-term and/or long-term observation of the surveillance scene that occurs over a time period selected from the group consisting of a time period of longer than one day, over a time period which includes several states of the surveillance scene, and both, wherein said learning device is configured to generate a scene model, wherein the scene model is a model of a scene that comprises artificial model objects in the form of a virtual world, and wherein said scene model is in the form of a multi-mode scene model and individual modes of said multi-mode scene model are distinguished through different states of the surveillance scene, and wherein the states of the surveillance scene differ with regard to one or more of parameters selected from the group consisting of relative position of a surveillance camera, relative orientation of a surveillance camera, absolute position of a surveillance camera, and absolute orientation of the surveillance camera, wherein the scene model forms the basis for the generation of the scene reference image. - View Dependent Claims (12, 13)
-
-
14. A non-transitory computer readable medium containing a computer program with programming code means for executing a method on an image processing device for carrying out an object segmentation, said image processing device including means for executing the object segmentation through comparison of a camera image to a received reference image of a surveillance scene, a learning device for generating the scene reference image, said learning device being configured to generate the scene reference image through evaluation of a medium-term and/or long-term observation of the surveillance scene that occurs in a situation selected from the group consisting of occurring over a time period of longer than one day, occurring over a time period which includes several states of the reference scene, and both when the program is executed on a computer, wherein said learning device is configured to generate a scene model wherein the scene model is a model of a scene that comprises artificial model objects in the form of a virtual world, and wherein said scene model is in the form of a multi-mode scene model and individual modes of said multi-mode scene model are distinguished through different states of the surveillance scene, and wherein the states of the surveillance scene differ with regard to one or more of parameters selected from the group consisting of relative position of a surveillance camera, relative orientation of a surveillance camera, absolute position of a surveillance camera, and absolute orientation of the surveillance camera, wherein the scene model forms the basis for the generation of the scene reference image;
-
a plurality of interfaces for connection to surveillance cameras; and an evaluation device that is configured to establish proximity relationship between said surveillance cameras through use of trajectory-based objects.
-
Specification