Abstract: Video image data is acquired from synchronized cameras having overlapping views of objects moving past the cameras through a scene image in a linear array and with a determined speed. Processing units generate one or more object detections associated with confidence scores within frames of the camera video stream data. The confidence scores are modified as a function of constraint contexts including a cross-frame constraint that is defined by other confidence scores of other object detection decisions from the video data that are acquired by the same camera at different times; a cross-view constraint defined by other confidence scores of other object detections in the video data from another camera with an overlapping field-of-view; and a cross-object constraint defined by a sequential context of a linear array of the objects, spatial attributes of the objects and the determined speed of the movement of the objects relative to the cameras.

Abstract: Embodiments of the present invention provide a system, method, and program product to determine whether a product has been successfully purchased by identifying in a video record when a movement of a product adjacent to a scanner occurs, and whether the scanner did not record a purchase transaction at that time; measuring a difference in time between the time of the movement of the product and a time of another movement of a product, and determining by a trained support vector machine a likelihood that the product was successfully purchased. Alternately, the difference in time can be measured between the time of the movement of the product and a time of a transaction record, or between the time of the movement of the product and a boundary time. The support vector machine can use a radial basis function kernel and can generate a decision value and a confidence score.

Abstract: Visual content in images captured from a scene by a camera in each of a plurality of different pose settings are analyzed to determine predicted occurrences of a transaction associated with the visual content in each pose, which are compared with actual transaction occurrence data to generate performance values for each pose as a function difference between the predicted and actual transactions. Optimized poses are chosen having the best performance value, wherein a camera controller may place the camera in the optimum pose for use in monitoring the scene and generating the primitives of interest associated with the transactions.

Abstract: Events are classified through string pattern recognition. Text labels are assigned to image primitives in a time-ordered set of training images and to related time-ordered transactions in an associated training transaction log in a combined time-ordered training string of text labels as a function of image types. Transactions are labeled in a training transaction log with a transaction label, a training primitive image of a start of a transaction with a start image text label, a training primitive of an entry of a transaction into the log with an entry image text label, and a training primitive of a conclusion of a transaction with an ending image text label. Positive subset string patterns are discovered representing true events from the combined time-ordered training string of text labels, and negative subset string patterns defined by removing single transaction primitive labels from the positive subset string patterns.

Abstract: In a method for triggering a passenger protection arrangement for a vehicle, a crash type is detected with the aid of at least one structure-borne noise signal, and the triggering takes place as a function of the crash type. For the crash type recognition, the structure-borne noise signal is evaluated in a predefined time period with regard to a change in amplitude.

Abstract: A control unit and a method for activating an occupant protection unit for a vehicle are provided, the occupant protection unit being activated as a function of a first signal of a first sensor system. The activation is validated as a function of an additional sensor signal, which validation is performed by gating at least one acceleration signal and at least one structure-borne noise signal as the sensor signals.

Abstract: A method and a control unit for triggering occupant protection means as a function of a structure-borne noise signal are proposed. The occupant protection means are triggered as a function of the crash signal and the structure-borne noise signal, the structure-borne noise signal being evaluated beforehand as a function of at least one friction process which takes place in the vehicle structure.

Abstract: An antiglare system in a vehicle includes a device for controlling antiglare means. The device includes at least one image acquisition means. The antiglare means is controlled as a function of a first signal of the image acquisition means. The light intensity in the passenger compartment of the vehicle is taken into account in controlling the antiglare means.

Abstract: A device for adjusting seat components as a function of a signal from a video sensor system. Furthermore, a safety belt is adjusted as well as a function of the signal. This adjustment is carried out as a function of the occupant class, the occupant volume, the occupant pose, and the head position.

Abstract: An imaging sensor disposed in a vehicle includes an evaluation unit for monitoring the imaging sensor's operability based on an image signal, for example, by an evaluation of invariant patterns, empirical knowledge about measurement signal profiles, utilizing the redundancy of a network of sensors, or utilizing time-related redundancy.

Abstract: A method and a device for detecting the occupancy state of a seat, e.g., in a vehicle, and for use in activating a restraint mechanism allocated to the seat, as a function of the occupancy state, are provided. With the aid of an image recording system, a 3D image of the seat is recorded and evaluated with respect to the occupancy state, and optionally also with respect to the type of the occupancy. For the evaluation, a 3D pattern is drawn upon, which is available externally or which is able to be generated internally in an initialization step. A hierarchically constructed evaluation also permits, after determination of an occupancy state, a classification with respect to the type of the respective occupancy.

Abstract: A device for adjusting seat components as a function of a signal from a video sensor system. Furthermore, a safety belt is adjusted as well as a function of the signal. This adjustment is carried out as a function of the occupant class, the occupant volume, the occupant pose, and the head position.

Abstract: A method for detecting a person in a space includes at least one depth sensor producing spatial data about the space to be monitored, at least one sub-model, which is sub-dividable into further sub-models being used for at least one selected body part of a human, the spatial data being used to adapt the sub-models, the adaptation being checked by position parameters between the sub-models of different body parts, and the person being recognized using a complete model made up of the checked sub-models.

Abstract: A device for adjusting at least one vehicle seat is provided, the device being configured to automatically adjust the at least one vehicle seat. Furthermore, the device is configured in such a way that the device adjusts a contour of the at least one vehicle seat as a function of a signal from an image-generating sensory system, which detects a vehicle occupant on the vehicle seat.

Abstract: An imaging sensor disposed in a vehicle includes an evaluation unit for monitoring the imaging sensor's operability based on an image signal, for example, by an evaluation of invariant patterns, empirical knowledge about measurement signal profiles, utilizing the redundancy of a network of sensors, or utilizing time-related redundancy.

Abstract: A method and a device for detecting the occupancy state of a seat, e.g., in a vehicle, and for use in activating a restraint mechanism allocated to the seat, as a function of the occupancy state, are provided. With the aid of an image recording system, a 3D image of the seat is recorded and evaluated with respect to the occupancy state, and optionally also with respect to the type of the occupancy. For the evaluation, a 3D pattern is drawn upon, which is available externally or which is able to be generated internally in an initialization step. A hierarchically constructed evaluation also permits, after determination of an occupancy state, a classification with respect to the type of the respective occupancy.

Abstract: Proposed is a method for detecting a person in a space; at least one depth sensor producing spatial data about the space to be monitored; at least one sub-model which is subdividable into further sub-models being used for at least one selected body part of a human; the spatial data being used to adapt the sub-models; the adaptation being checked by position parameters between the sub-models of different body parts, and the person being recognized using a complete model made up of the checked sub-models.