Robert Boschgmbh

Marcel Merkel

Jan Karl Warzelhan

Matthias Koenig

Hartmut Loos

Wolfgang Niem

Julia Ebling

Marco Boltz

Stefan Mueller-Scheiders

In addition to the clear advantages of video monitoring systems for securing monitoring regions and optionally for following suspicious objects, there is the requirement to secure the private environments of people in the regions being monitored. A masking module () for a monitoring system () is disclosed for the above, wherein the monitoring system () has at least one monitoring camera () designed and/or arranged for observing monitoring regions with moving objects (), comprising a selection device for selecting objects as selected objects (), wherein the masking module () is designed to output the selected objects () or partial regions thereof subsequently together called selected objects () in a masked form, wherein the masking module () is designed to limit the masking of objects () to at least one selected physical partial region () of the monitoring region.

Masking module for a video surveillance system, method for masking selected objects, and computer program

The invention relates to a housing for protecting an electronic device () to be fitted to a motor vehicle, the housing comprising a plurality of shells () forming a front () and a cap (), these being assembled together to define jointly an enclosure () for housing an electronic card () provided with remote connectors (), wherein at least one first shell () is formed from at least two elementary shells () and said first shell () includes, molded into it, at least one mobility means allowing relative movement between the elementary shells. The first shell () is formed in one piece, the two elementary shells () are situated side by side, each comprising a window for the passage and/or reception of a connector (), and said mobility means comprises an elastically deformable member ().

Information device, method for informing and/or navigating a person, and computer program

Video monitoring systems usually comprise one or more monitoring cameras directed to related monitored areas such as intersections, parking lots, manufacturing plants, etc., wherein the image data streams recorded by the monitoring camera (S) are often collected at a monitoring center. In the automated evaluation of image data streams, there are known methods that detect moving objects in the monitored area, track them and carry out evaluations based on the detection or tracking. On the other hand, a monitoring modulefor a video monitoring systemis proposed, wherein the monitoring modulecan be data-coupled and/or is data-coupled to at least one monitoring camera (), wherein the at least one monitoring camerais directed to a monitored area and the monitored area can be displayed or is displayed as a monitoring scene that includes or can include moving foreground objects and a scene background, and wherein the monitoring moduleis designed for the analysis of the monitoring scene and for the output of a signal based on the analysis, wherein the output of the signal based on the analysis of the scene background occurs upon deviations in prescribed base states.

Surveillance module for a video surveillance system, method for monitoring the state of a surveillance region, and computer program

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 thanweek, and/or b) that extends over a time period that includes several states of the surveillance scene.

Image-processing device, surveillance system, method for establishing a scene reference image, and computer program

An image processing device for the detection and suppression of shadows in a camera image of a surveilled scene, the camera image optionally showing static objects with static shadow regions and moving objects with dynamic shadow regions, includes a long-term module, which is designed to generate a long-term reference image of the surveilled scene by evaluating a long-term observation of a particular scene, a mid-term module, which is designed to generate a mid-term reference image of the surveilled scene by evaluating a mid-term observation of the particular scene, and a shadow detection module, which is designed to process camera image&#x2014;using information technology&#x2014;with long-term reference image and mid-term reference image, in order to detect and suppress shadows.

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Hildesheim, Germany

Marcel Merkel