UBIQUITOUS VISUAL COMPUTING WITNESS

• US 20190043351A1
• Filed: 06/08/2018
• Published: 02/07/2019
• Est. Priority Date: 12/28/2017
• Status: Active Grant

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Yang, Shao-Wen, Schooler, Eve M., Hyde, Maruti Gupta, Moustafa, Hassnaa, Bartfai-Walcott, Katalin Klara, Chen, Yen-Kuang, McCarthy, Jessica, Strong, Christina R,, Raghunath, Arun, Vembar, Deepak S.
• Granted Patent: US 10,559,202 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 18/241 relating to the classification model, e.g. parametric or non-parametric approaches
• CPC Class Codes: G06F 18/24133 Distances to prototypes
• CPC Class Codes: G06F 21/604 Tools and structures for managing or administering access control systems
• CPC Class Codes: G06F 21/6245 Protecting personal data, e.g. for financial or medical purposes
• CPC Class Codes: G06F 2209/506 Constraint
• CPC Class Codes: G06F 9/4881 Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
• CPC Class Codes: G06F 9/505 considering the load
• CPC Class Codes: G06Q 50/26 Government or public services business processes related to the transportation industry G06Q50/40
• CPC Class Codes: G06V 10/44 Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
• CPC Class Codes: G06V 10/764 using classification, e.g. of video objects
• CPC Class Codes: G06V 10/82 using neural networks
• CPC Class Codes: G06V 20/52 Surveillance or monitoring of activities, e.g. for recognising suspicious objects recognising microscopic objects G06V20/69
• CPC Class Codes: G06V 40/103 Static body considered as a whole, e.g. static pedestrian or occupant recognition
• CPC Class Codes: G08G 1/0116 from roadside infrastructure, e.g. beacons
• CPC Class Codes: G08G 1/087 Override of traffic control, e.g. by signal transmitted by an emergency vehicle
• CPC Class Codes: G08G 1/091 Traffic information broadcasting broadcasting communication H04H
• CPC Class Codes: G11B 27/031 Electronic editing of digitised analogue information signals, e.g. audio or video signals
• CPC Class Codes: H04N 7/181 for receiving images from a plurality of remote sources

Abstract

In one embodiment, an apparatus comprises a memory and a processor. The memory is to store sensor data captured by one or more sensors associated with a first device. Further, the processor comprises circuitry to: access the sensor data captured by the one or more sensors associated with the first device; determine that an incident occurred within a vicinity of the first device; identify a first collection of sensor data associated with the incident, wherein the first collection of sensor data is identified from the sensor data captured by the one or more sensors; preserve, on the memory, the first collection of sensor data associated with the incident; and notify one or more second devices of the incident, wherein the one or more second devices are located within the vicinity of the first device.

Claims

1. An apparatus, comprising:

a memory to store sensor data captured by one or more sensors associated with a first device; and

a processor comprising circuitry to;

access the sensor data captured by the one or more sensors associated with the first device;

determine that an incident occurred within a vicinity of the first device;

identify a first collection of sensor data associated with the incident, wherein the first collection of sensor data is identified from the sensor data captured by the one or more sensors;

preserve, on the memory, the first collection of sensor data associated with the incident; and

notify one or more second devices of the incident, wherein the one or more second devices are located within the vicinity of the first device.

2. The apparatus of claim 1, wherein the circuitry to determine that the incident occurred within the vicinity of the first device is further to:

analyze the sensor data captured by the one or more sensors;

identify an anomaly associated with the sensor data; and

detect the incident based on the anomaly associated with the sensor data.

3. The apparatus of claim 1, wherein the circuitry is further to:

receive a notification associated with the incident over an information-centric network, wherein the notification comprises a request for data associated with the incident, and wherein the request for data comprises an indication of a plurality of attributes associated with the incident; and

determine whether the sensor data captured by the one or more sensors corresponds to the plurality of attributes associated with the incident.

4. The apparatus of claim 3, wherein the plurality of attributes associated with the incident comprises a time and a location of the incident.

5. The apparatus of claim 1, wherein the circuitry is further to generate an identifier for the incident, wherein the identifier is generated based on one or more attributes associated with the incident.

6. The apparatus of claim 1, wherein the circuitry to notify the one or more second devices of the incident is further to:

broadcast a notification associated with the incident over an information-centric network, wherein the notification comprises a request for data associated with the incident, and wherein the notification is received by the one or more second devices.

7. The apparatus of claim 6, wherein the circuitry is further to:

receive one or more second collections of sensor data associated with the incident, wherein the one or more second collections of sensor data are received from the one or more second devices; and

generate a consolidated collection of sensor data associated with the incident, wherein the consolidated collection of sensor data is generated from the first collection of sensor data and the one or more second collections of sensor data.

8. The apparatus of claim 7, wherein the circuitry is further to send the consolidated collection of sensor data to an entity associated with the incident.

9. The apparatus of claim 7, wherein the circuitry is further to generate a reconstructed representation of the incident based on the consolidated collection of sensor data.

10. The apparatus of claim 1, wherein the incident comprises an automobile accident, and wherein the first device is associated with:

a vehicle involved in the automobile accident;

or

roadside infrastructure located near the automobile accident.

11. The apparatus of claim 1, wherein the first device is associated with a surveillance system, and wherein the one or more sensors comprise one or more cameras.

12. A system, comprising:

a plurality of sensors to capture sensor data associated with an operating environment of a first device;

a communication interface to communicate with one or more second devices; and

a processor to;

determine that an incident occurred within a vicinity of the first device;

identify a first collection of sensor data associated with the incident, wherein the first collection of sensor data is identified from the sensor data captured by the plurality of sensors;

preserve the first collection of sensor data associated with the incident; and

notify the one or more second devices of the incident, wherein the one or more second devices are located within the vicinity of the first device.

13. The system of claim 12, wherein the processor to determine that the incident occurred within the vicinity of the first device is further to detect the incident based on an analysis of the sensor data captured by the plurality of sensors.

14. The system of claim 12, wherein the processor is further to:

receive a notification associated with the incident over an information-centric network, wherein the notification comprises a request for data associated with the incident, and wherein the request for data comprises an indication of a plurality of attributes associated with the incident; and

determine whether the sensor data captured by the plurality of sensors corresponds to the plurality of attributes associated with the incident.

15. The system of claim 12, wherein the processor to notify the one or more second devices of the incident is further to:

broadcast a notification associated with the incident over an information-centric network, wherein the notification comprises a request for data associated with the incident, and wherein the notification is received by the one or more second devices.

16. The system of claim 15, wherein the processor is further to:

receive one or more second collections of sensor data associated with the incident, wherein the one or more second collections of sensor data are received from the one or more second devices; and

generate a consolidated collection of sensor data associated with the incident, wherein the consolidated collection of sensor data is generated from the first collection of sensor data and the one or more second collections of sensor data.

17. The system of claim 16, wherein the processor is further to send the consolidated collection of sensor data to an entity associated with the incident.

18. The system of claim 16, wherein the processor is further to generate a reconstructed representation of the incident based on the consolidated collection of sensor data.

19. At least one machine accessible storage medium having instructions stored thereon, wherein the instructions, when executed on a machine, cause the machine to:

access sensor data captured by one or more sensors associated with a first device;

detect an incident that occurs within a vicinity of the first device, wherein the incident is detected based on an analysis of the sensor data;

identify a first collection of sensor data associated with the incident, wherein the first collection of sensor data is identified from the sensor data captured by the one or more sensors;

preserve the first collection of sensor data associated with the incident; and

notify one or more second devices of the incident, wherein the one or more second devices are located within the vicinity of the first device.

20. The storage medium of claim 19, wherein the instructions further cause the machine to:

receive a notification associated with the incident over an information-centric network, wherein the notification comprises a request for data associated with the incident, and wherein the request for data comprises an indication of a plurality of attributes associated with the incident; and

determine whether the sensor data captured by the one or more sensors corresponds to the plurality of attributes associated with the incident.

21. The storage medium of claim 19, wherein the instructions further cause the machine to:

broadcast a notification associated with the incident over an information-centric network, wherein the notification comprises a request for data associated with the incident, and wherein the notification is received by the one or more second devices;

receive one or more second collections of sensor data associated with the incident, wherein the one or more second collections of sensor data are received from the one or more second devices;

generate a consolidated collection of sensor data associated with the incident, wherein the consolidated collection of sensor data is generated from the first collection of sensor data and the one or more second collections of sensor data; and

send the consolidated collection of sensor data to an entity associated with the incident.

22. The storage medium of claim 21, wherein the instructions further cause the machine to generate a reconstructed representation of the incident based on the consolidated collection of sensor data.

23. A method, comprising:

accessing sensor data captured by one or more sensors associated with a first device;

detecting an incident that occurs within a vicinity of the first device, wherein the incident is detected based on an analysis of the sensor data;

identifying a first collection of sensor data associated with the incident, wherein the first collection of sensor data is identified from the sensor data captured by the one or more sensors;

preserving the first collection of sensor data associated with the incident; and

notifying one or more second devices of the incident, wherein the one or more second devices are located within the vicinity of the first device.

24. The method of claim 23, further comprising:

receiving a notification associated with the incident over an information-centric network, wherein the notification comprises a request for data associated with the incident, and wherein the request for data comprises an indication of a plurality of attributes associated with the incident; and

determining whether the sensor data captured by the one or more sensors corresponds to the plurality of attributes associated with the incident.

25. The method of claim 23, further comprising:

broadcasting a notification associated with the incident over an information-centric network, wherein the notification comprises a request for data associated with the incident, and wherein the notification is received by the one or more second devices;

receiving one or more second collections of sensor data associated with the incident, wherein the one or more second collections of sensor data are received from the one or more second devices;

generating a consolidated collection of sensor data associated with the incident, wherein the consolidated collection of sensor data is generated from the first collection of sensor data and the one or more second collections of sensor data; and

sending the consolidated collection of sensor data to an entity associated with the incident.