Abstract: 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 (4) for a monitoring system (1) is disclosed for the above, wherein the monitoring system (1) has at least one monitoring camera (2) designed and/or arranged for observing monitoring regions with moving objects (14, 16), comprising a selection device for selecting objects as selected objects (16), wherein the masking module (4) is designed to output the selected objects (16) or partial regions thereof subsequently together called selected objects (16) in a masked form, wherein the masking module (4) is designed to limit the masking of objects (16) to at least one selected physical partial region (15, 18) of the monitoring region.

Abstract: The invention relates to a housing for protecting an electronic device (1) to be fitted to a motor vehicle, the housing comprising a plurality of shells (2, 3) forming a front (2) and a cap (3), these being assembled together to define jointly an enclosure (4) for housing an electronic card (1) provided with remote connectors (13), wherein at least one first shell (3) is formed from at least two elementary shells (18) and said first shell (3) includes, molded into it, at least one mobility means allowing relative movement between the elementary shells. The first shell (3) is formed in one piece, the two elementary shells (18) are situated side by side, each comprising a window for the passage and/or reception of a connector (13), and said mobility means comprises an elastically deformable member (26).

Abstract: 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.

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.

Abstract: 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—using information technology—with long-term reference image and mid-term reference image, in order to detect and suppress shadows.

Abstract: 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.

Abstract: 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 (4) for a monitoring system (1) is disclosed for the above, wherein the monitoring system (1) has at least one monitoring camera (2) designed and/or arranged for observing monitoring regions with moving objects (14, 16), comprising a selection device for selecting objects as selected objects (16), wherein the masking module (4) is designed to output the selected objects (16) or partial regions thereof subsequently together called selected objects (16) in a masked form, wherein the masking module (4) is designed to limit the masking of objects (16) to at least one selected physical partial region (15, 18) of the monitoring region.

Abstract: The invention relates to a housing for protecting an electronic device (1) to be fitted to a motor vehicle, the housing comprising a plurality of shells (2, 3) forming a front (2) and a cap (3), these being assembled together to define jointly an enclosure (4) for housing an electronic card (1) provided with remote connectors (13), wherein at least one first shell (3) is formed from at least two elementary shells (18) and said first shell (3) includes, moulded into it, at least one mobility means allowing relative movement between the elementary shells. The first shell (3) is formed in one piece, the two elementary shells (18) are situated side by side, each comprising a window for the passage and/or reception of a connector (13), and said mobility means comprises an elastically deformable member (26).

Abstract: Video surveillance systems are used, by way of example, for monitoring public places, such as railway stations, junctions, airports, or public buildings, such as libraries, museums, but also private environments, such as an alarm system in houses. To this end, the video surveillance systems often have a plurality of surveillance cameras which observe relevant surveillance scenes. The video sequences produced during observation are usually combined and evaluated at a central location.

Abstract: 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—using information technology—with long-term reference image and mid-term reference image, in order to detect and suppress shadows.

Abstract: The invention relates to a method for operating at least one camera (2), in which a position of the at least one camera (2) is determined and information about a scene which can be observed on the basis of the position is made available for image processing.

Abstract: Video surveillance systems are used in a multitude of applications in order to monitor large areas. Such video surveillance systems customarily include a plurality of fixed-mounted cameras that record relevant surveillance scenes and a central surveillance station in which the video sequences of the cameras are brought together. Often, the evaluation of the assembled video data is performed by surveillance personnel. As is known, the surveillance activities of surveillance personnel are very fatiguing, which is why possibility that important events in the surveillance scenes may be overlooked cannot be ruled out. For this reason, it has long been common practice to use known image-processing algorithms for automated evaluation of video sequences.