METHOD FOR IDENTIFYING ANOMALIES IN OBJECT STREAMS USING THE PHENOMENON OF GROUP SPEED

• US 20110063439A1
• Filed: 04/14/2009
• Published: 03/17/2011
• Est. Priority Date: 05/29/2008
• Status: Abandoned Application

• Current Assignee: Siemens AG
• Original Assignee: Siemens AG
• Inventors: Köster, Gerta, Klein, Wolfram
• Application Number:
  US12/994,593
• Publication Number:
  US 20110063439A1
• Time in Patent Office: Days
• US Class Current: 348/142
• CPC Class Codes: G08G 1/0116 from roadside infrastructure, e.g. beacons
• CPC Class Codes: G08G 1/012 from other sources than vehicle or roadside beacons, e.g. mobile networks
• CPC Class Codes: G08G 1/0129 for creating historical data or processing based on historical data

Abstract

In a method and an apparatus for identifying, measuring and assessing anomalies in the behaviour of streams of people or objects, anomalies are identified, measured and assessed reliably and in all of their possible forms. At least one group in a stream of people or objects is statically identified at a particular time, the group is observed in a time profile, the group speed is measured and the streams of people or objects are assessed using the group speed. Various methods for detecting the group speed and various cases for assessing the group speed are shown. The method and apparatus is suitable for observing object streams in order to prevent accidents, for example.

Claims

1. An apparatus for implementing a method for the automated identification, measurement and assessment of anomalies in the behavior of streams of people or objects based on data from a plurality of sensors, data sources and/or surveillance cameras, comprising

at least one of sensors, data sources and surveillance cameras for the stationary identification of at least one group in a stream of people or objects at a specific time;

at least one of sensors, data sources and surveillance cameras for observing the group in a time profile;

at least one of sensors, data sources and surveillance cameras for measuring group speed; and

a data assessment facility for assessing group speed.

2. The apparatus according to claim 1, wherein a group is a region with a higher density than its surroundings and group association is determined by means of a minimum density.

3. The apparatus according to claim 2, wherein in the case of group association a person or object is assigned to a group list so that the group then consists of the individual people or individual objects in the group region.

4. The apparatus according to claim 1, comprising definition of the periphery of the group by means of a polyline.

5. The apparatus according to claim 1, wherein where there are a multiplicity of subgroups, these are at least one of assigned identifiers and group characteristics.

6. The apparatus according to claim 5, wherein observation takes place by means of assigning the identified subgroups to the subgroups identified in the past by means of assignment of the subgroups over time based on the at least one of identifiers and group characteristics and a breaking up or merging of subgroups is identified.

7. The apparatus according to claim 1, wherein the apparatus is operable to measure the group speed by detecting a change in the position of a density maximum of the group related to a time change.

8. The apparatus according to claim 1, wherein the apparatus is operable to measure the group speed by detecting a change in the position of a center of mass of the group expansion related to a time change.

9. The apparatus according to claim 1, wherein the apparatus is operable to measure the group speed by detecting speeds of peripheral points of the group.

10. The apparatus according to claim 1, wherein the apparatus is operable to measure the group speed by detecting speeds of end points of at least one expansion of the group in at least one preferred direction.

11. The apparatus according to claim 1, wherein the apparatus is operable to measure the group speeds of delimitable subgroups in a group.

12. The apparatus according to claim 1, wherein the apparatus is operable to measure the speeds of people or objects in the subgroups.

13. The apparatus according to claim 1, wherein the apparatus is operable to assess by comparing the speeds of the group as a whole, the subgroups, the people or objects in the at least one of subgroups and the mean speed from the individual speeds.

14. The apparatus according to claim 1, wherein the apparatus is operable to assess by comparing the group speed of the group as a whole with at least one of the speed of the associated people or objects and with the mean speed from the individual speeds.

15. The apparatus according to claim 1, wherein the apparatus is operable to assess by comparing the group speeds of subgroups with at least one of the speeds of the respectively associated people or objects and with the mean speed from the individual speeds.

16. The apparatus according to claim 1, wherein the apparatus is operable to assess by taking into account the onward movement directions of subgroups.

17. The apparatus according to claim 1, wherein the apparatus is operable to assess by taking into account at least one of rhythmically changing group speeds and directions.

18. The apparatus according to claim 1, wherein the apparatus is operable to respond to at least one of an identified anomaly and impact on the group.

19. The apparatus according to claim 5, wherein the at least one of assigned identifiers and group characteristics are selected from the group consisting of:

size of group in people or objects, surface area in meters, expansion in one direction, expansion ratio, group core, location and value of local density minima, peripheral behavior, drop in density, speeds and homogeneity.

20. A method for the automated identification, measurement and assessment of anomalies in the behavior of streams of people or objects based on data from a plurality of sensors, data sources and/or surveillance cameras, comprising

stationary identifying of at least one group in a stream of people or objects at a specific time by said at least one of sensors, data sources and surveillance cameras;

observing the group in a time profile by said at least one of sensors, data sources and surveillance cameras;

measuring group speed by said at least one of sensors, data sources and surveillance cameras; and

assessing the group speed.