Abstract: A device and method for detection of an event in a monitoring area. The detection device includes a camera interface for transferring at least one image of the monitoring area, an image analysis unit configured to determine event specifications for at least any one position in the monitoring area, an alarm unit configured to define an alarm based on a comparison of alarm specifications with the event specifications, a storage unit configured to store the event specifications for the at least any one position, a calculation unit configured to determine at least one false event area based on the event specifications and the alarm specifications, and a masking unit configured to automatically modify the alarm specifications within the at least one false event area, exclude the false event area from the determination of event specifications by the image analysis unit, or both.

Abstract: The invention relates to a detection device (1) for detection of an event in a monitoring region (3), having a camera interface (4) for transferring at least one image, wherein the at least one image displays the monitoring region (3), having an image analysis unit (6), wherein the image analysis unit (6) is designed to determine, based on the image, event specifications for at least any one position in the monitoring region (3), having an alarm unit (15) having alarm specifications, wherein the alarm unit is designed to output an alarm on the basis of a comparison of the alarm specifications with the event specifications, having a storage unit (14), wherein the storage unit (14) is designed to store the event specifications for the at least any one position in the monitoring region (3), having a calculation unit (8) for calculating and/or determining at least one error event region (5) on the basis of the event specifications and the alarm specifications, wherein the error event region (5) is a region of the

Abstract: A transcoder device. The transcoder device includes an input portion for receiving at least two encoded camera image streams and for decoding the at least two encoded camera image streams, the two camera image streams displaying different sub-sections of a monitored region, an output portion for encoding a video image stream and for outputting the encoded video image stream, and a processing portion for generating the video image stream on the basis of the at least two camera image streams. The video image stream displays a selecting portion of the monitored region, the selecting portion 15 including a sub-region of the one sub-section of the monitored region and a sub-region of the other sub-section of the monitored region which does not overlap the former sub-region.

Abstract: For operators of public or commercial buildings, such as supermarkets, it is interesting to determine how many persons, in particular potential buyers, enter the building each day. In other areas, as well, entering and exiting moving objects are counted: it is typical, for example, that cars driving into and out of a parking garage are counted.

Abstract: A transcoder device. The transcoder device includes an input portion for receiving at least two encoded camera image streams and for decoding the at least two encoded camera image streams, the two camera image streams displaying different sub-sections of a monitored region, an output portion for encoding a video image stream and for outputting the encoded video image stream, and a processing portion for generating the video image stream on the basis of the at least two camera image streams. The video image stream displays a selecting portion of the monitored region, the selecting portion 15 including a sub-region of the one sub-section of the monitored region and a sub-region of the other sub-section of the monitored region which does not overlap the former sub-region.

Abstract: A method for detection and/or tracking of objects in motion 16 in a scene under surveillance 15, in which besides the objects in motion 16, interfering objects and/or interfering regions—both hereinafter called interfering factors 17, 23—can occur, is proposed, in which the scene under surveillance 15, a plurality of regions are defined that are divided up into various region classes; and a first region class D1, 5 includes sensitive regions, in which no and/or only insignificant interfering factors 17, 23 are located and/or are to be expected; and for detection and/or tracking of the objects in motion 16 in the sensitive regions, a sensitive content analysis is performed, and a second region class D2, 6 includes semi-sensitive regions 19, in which interfering factors 17, 23 are located and/or are to be expected, and for detection and/or tracking of the objects in motion 16 in the semi-sensitive regions 19, a semi-sensitive content analysis is performed, which is limited and/or modified compared to the sensit

Abstract: In daily life, people are often forced to join a queue in order, for example, to pay at a checkout or to be dealt with at an airport, etc. Because of the various forms of a queue, these are not usually recorded automatically, but are analyzed manually. For example, if a long queue is formed at a supermarket, as a result of which the predicted waiting time for the customers rises above a threshold value, this situation can be identified by the checkout personnel, and a further checkout can be opened.

Abstract: 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 (1) for identifying and/or classifying a movement pattern in an image sequence of a surveillance scene comprising a plurality of moving objects, an interface (2) for recording the image sequence, a calculation module (5) for determining an optical flow field (10) in the surveillance scene by evaluating the image sequence and an identification module (6) 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.

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: In daily life, people are often forced to join a queue in order, for example, to pay at a checkout or to be dealt with at an airport, etc. Because of the various forms of a queue, these are not usually recorded automatically, but are analyzed manually. For example, if a long queue is formed at a supermarket, as a result of which the predicted waiting time for the customers rises above a threshold value, this situation can be identified by the checkout personnel, and a further checkout can be opened.

Abstract: For operators of public or commercial buildings, such as supermarkets, it is interesting to determine how many persons, in particular potential buyers, enter the building each day. In other areas, as well, entering and exiting moving objects are counted: it is typical, for example, that cars driving into and out of a parking garage are counted.

Abstract: A device for segmenting an object in an image, in which a surveillance region containing one or more objects is depicted or depictable in image, has an estimating module which is designed to estimate a distance in the surveillance region based on a possible object pixel of object in image, a segmenting module which is designed to segment object containing object pixel according to a segmentation strategy, and a strategy module which is programmed and/or electronically configured to adapt the segmentation strategy to object depending on the estimated distance.

Abstract: 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 centre. The invention also relates to a device (1) for identifying and/or classifying a movement pattern in an image sequence of a surveillance scene comprising a plurality of moving objects, an interface (2) for recording the image sequence, a calculation module (5) for determining an optical flow field (10) in the surveillance scene by evaluating the image sequence and an identification module (6) 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.

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: An inventory module for a video monitoring system including at least one monitoring camera which is directed or directable to a monitoring region, in particular a storage and/or sales area which contains products, including a detection device which is designed to detect products, and when detection takes place, position information and information regarding the identification of detected product are ascertained, includes an assignment device which is designed to model—based on the position information and the identification information of a plurality of detected products—a spacial distribution of the products in the monitoring region.

Abstract: A method for detection and/or tracking of objects in motion 16 in a scene under surveillance 15, in which besides the objects in motion 16, interfering objects and/or interfering regions—both hereinafter called interfering factors 17, 23—can occur, is proposed, in which the scene under surveillance 15, a plurality of regions are defined that are divided up into various region classes; and a first region class D1, 5 includes sensitive regions, in which no and/or only insignificant interfering factors 17, 23 are located and/or are to be expected; and for detection and/or tracking of the objects in motion 16 in the sensitive regions, a sensitive content analysis is performed, and a second region class D2, 6 includes semi-sensitive regions 19, in which interfering factors 17, 23 are located and/or are to be expected, and for detection and/or tracking of the objects in motion 16 in the semi-sensitive regions 19, a semi-sensitive content analysis is performed, which is limited and/or modified compared to the sensit