Robert Boschgmbh

Matthias Koenig

Jan Karl Warzelhan

Marcel Merkel

Hartmut Loos

Jan Rexilius

Julia Ebling

Marco Boltz

A video surveillance systemhaving an input device. The input device includes an analysis devicefor evaluating images of a surveillance scene from a surveillance region, that have been recorded by a surveillance cameraA useris represented and/or can be represented on the images, and the analysis deviceand/or the input deviceare/is designed for generating user object data, based on the imageswith the userand/or the input device. The input device is embodied as a mobile devicefor the configuration of the video surveillance systemby the useron the basis of or using the user object data

Video surveillance system and method for configuring a video surveillance system

The invention relates to a method and device for locating persons () in a prescribed area () monitored by at least one image acquisition device (), wherein the image acquisition device () continuously generates images of the prescribed monitored area (), said images being analyzed and evaluated by means of at least one image-processing method and/or image analysis method, and to a computer program product and data processing program. According to the invention, the generated images of the prescribed area () are analyzed and evaluated for detecting and locating persons (), wherein detected and located persons () are classified and associated with at least one prescribed group, wherein the association with a group is performed depending on prescribed clothing features.

Detecting and classifying persons in a prescribed area

The invention relates to video surveillance systems that are used, for example, for surveying public places, stations, streets, industrial estates, buildings or similar. Said video surveillance systems comprise one or more surveillance cameras that are oriented towards surveillance scenes and transfer image data streams, in the form of image sequences, to an evaluation center. The invention also relates to a device () for identifying and/or classifying a movement pattern in an image sequence of a surveillance scene comprising a plurality of moving objects, an interface () for recording the image sequence, a calculation module () for determining an optical flow field () in the surveillance scene by evaluating the image sequence and an identification module () that is designed in terms of programming and/or circuitry such that the optical field and/or partial areas thereof are compared to one or more patterns in order to identify the movement pattern in the image sequence.

Device for identifying and/or classifying movement patterns in an image sequence of a surveillance scene, method 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 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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Stuttgart, Germany

Matthias Koenig