Xovis Ag

David Studer

Markus Herrli Anderegg

Cyrill Gyger

Martin Wuethrich

Markus Herrli

Jonas Hagen

Christian Studer

Martin Wüthrich

In a method for analyzing the distribution of objects in a free queue, proceeding from position information, firstly a monitoring region comprising the free queue is subdivided into a plurality of positions. Proceeding from the position information, objects assigned to the free queue are identified. Said objects are subsequently tracked. At least for a portion of the identified objects, a current waiting time in the free queue is tracked. At least for a portion of the positions of the monitoring region, the current waiting time of one or a plurality of the identified objects situated at the corresponding positions is assigned. Furthermore, the positions with assigned waiting times are classified into a plurality of classes, wherein each of the classes corresponds to a continuous waiting time range.

Method for analyzing the distribution of objects in free queues

In a method for determining the spatial extent of a free queue, proceeding from position information, firstly a monitoring region comprising the free queue is subdivided into a plurality of positions. Proceeding from the position information, objects assigned to the free queue are identified and tracked. A current position of at least a portion of the tracked objects is periodically stored. An average speed of at least a portion of the objects is determined, wherein the average speed of an object is determined on the basis of a plurality of the stored positions of the respective object. Finally, a first map is created, which records, in relation to the positions in the monitoring region, an occurrence density of objects at the corresponding positions, Objects having an average speed outside a predefined range are not taken into account when creating the first map. Proceeding from a predefined exit region of the free queue, a flood fill method is carried out for generating a continuous region corresponding to the extent of the free queue. The first map is used for a validity check.

Method for analysing the spatial extent of free queues

People counting sensor

A method and a device for monitoring a monitoring region with at least two image sensors. A sub-region of the monitoring region is monitored by each of the image sensors, wherein each image sensor detects objects to be monitored that are located within the sub-region monitored by said image sensor, and each image sensor outputs data relating to the detected objects and are disposed and oriented in such a way that the monitored sub-regions overlap and that each object to be monitored that is located in the monitoring region is always detected by at least one image sensor.

Method and device for monitoring a monitoring region

Method for determining the length of a queue of objects in a predefined region having at least one entrance and at least one exit, in the course of which errors in the acquisition of objects entering or exiting the region are corrected during the determination of the length of the queue. In a first step, a specific entry signature E of each object entering the predefined region through the at least one entrance is determined with the aid of at least one first image sensor. Thereafter, the specific entry signature E is stored in an entry list of a calculation unit, each entry signature E being provided with an index value i reflecting the temporal sequence of the entries. In addition, a value L reflecting the length of the queue of the objects is increased by one. Furthermore, a specific exit signature A of an object exiting the predefined region through the at least one exit is determined with the aid of at least one second image sensor, the specific exit signature A being stored in an exit list of a calculation unit as exit signature Awith index value j=0. The index value of exit signatures Aalready present in the exit list is respectively increased by one, and exit signatures Awhich have an index value j that is greater than a predeterminable value M are deleted from the exit list. Subsequently, similarity values Cfor &#x2212;N&#x2266;n&#x2266;+N are calculated with the aid of the calculation unit, N being a predeterminable value which defines a specific number N of entry signatures of objects which, before or after the object with the entry signature Ewhich next exits the predefined region on the basis of the length of the queue L, will exit or have already exited the predefined region. In the process, similarity metrics Uare respectively calculated between an exit signature Aand an entry signature E, M running from 0 to M, and added to C. The value L is decremented by the value one. Subsequently, the similarity values Care compared with the similarity value C. The value L is corrected by adding the index value x given the presence of a value Cwith index value n=x that indicates a higher similarity than the similarity value C.

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Bruegg BE, Switzerland

David Studer