Aerial camera system and method for identifying route-related hazards
US-2017255824-A1 · Sep 7, 2017 · US
US12177758B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12177758-B2 |
| Application number | US-202217846640-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 22, 2022 |
| Priority date | Sep 11, 2019 |
| Publication date | Dec 24, 2024 |
| Grant date | Dec 24, 2024 |
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Methods and systems for monitoring blockages of emergency escape routes and emergency exits of a building include capturing a plurality of images which may correspond to an emergency escape route and/or an emergency exit of a building. The plurality of images may be analyzed to determine when a stationary object is present and at least partially blocking the emergency escape route and/or the emergency exit. If a blockage is detected, a user may be notified of the blockage.
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What is claimed is: 1. A method for monitoring for blockages of a passageway in a building, comprising: receiving a video stream of at least part of the passageway of the building; analyzing the video stream to identify when a stationary object at least partially blocks the passageway of the building; determining when the stationary object at least partially blocks the passageway for at least a first period of time; classifying the stationary object that at least partially blocks the passageway for at least the first period of time into one of a plurality of object classifications; in response to determining that the stationary object at least partially blocks the passageway for at least the first period of time: notifying a user of a blockage of the passageway when the stationary object is classified into a first object classification of the plurality of object classifications; not notifying or delay notifying the user of the blockage of the passageway when the stationary object is classified into a second object classification of the plurality of object classifications; and wherein the first object classification corresponds to inanimate objects and the second object classification corresponds to animate objects. 2. The method of claim 1 , comprising: notifying the user of the blockage of the passageway when the stationary object is classified into the second object classification of the plurality of object classifications and when the stationary object at least partially blocks the passageway for at least a second period of time, wherein the second period of time is greater than the first period of time. 3. The method of claim 1 , wherein identifying when the stationary object at least partially blocks the passageway of the building comprises: computing a blockage parameter that represents a severity of a blockage of the passageway by the stationary object; comparing the blockage parameter to a blockage threshold; and identifying that the stationary object at least partially blocks the passageway of the building when the blockage parameter exceeds the blockage threshold. 4. The method of claim 1 , wherein identifying when the stationary object at least partially blocks the passageway of the building comprises: identifying a region of interest in a field of view of the video stream that corresponds to at least part of the passageway; and identifying that the stationary object at least partially blocks the passageway when the stationary object extends into the region of interest in the field of view of the video stream. 5. The method of claim 4 , wherein the region of interest is at least partially manually defined by a user. 6. The method of claim 4 , wherein the region of interest is at least partially automatically defined using a building model of the building. 7. A method for monitoring for blockages of passageway in a building, comprising: receiving a video stream that has a field of view that includes of at least part of the passageway of the building; identifying a region of interest of the field of view of the video stream, wherein the region of interest includes a defined portion of the field of view of the video stream that does not include the entire field of view of the video stream, wherein the region of interest corresponds to at least part of the passageway of the building; analyzing the video stream to: determine when an object extends into the defined region of interest, resulting in a candidate blocking object; determine when the candidate blocking object remains stationary for at least a first period of time while extending into the region of interest; determining that the passageway is at least partially blocked by the candidate blocking object when the candidate blocking object remains stationary for at least the first period of time while extending into the region of interest, resulting in a confirmed blocking object; determining an object classification of the confirmed blocking object; and notifying a user that the passageway is at least partially blocked by the confirmed blocking object when the confirmed blocking object is classified in a first object classification and not notifying or delaying notifying the user that the passageway is at least partially blocked by the confirmed blocking object when the confirmed blocking object is classified in a second object classification. 8. The method of claim 7 , wherein the region of interest is at least partially manually defined by a user. 9. The method of claim 7 , wherein the region of interest is at least partially automatically defined using a building model of the building. 10. The method of claim 7 , wherein the region of interest within the field of view of the video stream comprises a defined geometric shape in the field of view of the video stream. 11. The method of claim 7 , wherein the region of interest within the field of view of the video stream has a depth dimension, and determining when the object extends into the region of interest comprises determining when the object extends into the region of interest in the depth dimension. 12. The method of claim 7 , wherein notifying the user that the passageway is at least partially blocked by the confirmed blocking object comprises notifying the user of a location of the confirmed blocking object and a picture or live video of the confirmed blocking object. 13. The method of claim 12 , further comprising anonymizing one or more people in the picture or live video of the confirmed blocking object. 14. The method of claim 7 , wherein the first object classification corresponds to inanimate objects and the second object classification corresponds to animate objects. 15. A method for monitoring for blockages of a passageway in a building, comprising: receiving a video stream of at least part of the passageway of the building; analyzing the video stream to identify when a stationary object at least partially blocks the passageway of the building; determining when the stationary object at least partially blocks the passageway for a first period of time and when the stationary object at least partially blocks the passageway for a second period of time that is greater than the first period of time; classifying the stationary object into one of a plurality of object classifications; in response to determining that the stationary object at least partially blocks the passageway for the first period of time: notifying a user of a blockage of the passageway when the stationary object is classified into a first object classification of the plurality of object classifications; not notifying or delay notifying the user of the blockage of the passageway when the stationary object is classified into a second object classification of the plurality of object classifications; in response to determining that the stationary object at least partially blocks the passageway for the second period of time: notifying the user of the blockage of the passageway when the stationary object is classified into the second object classification of the plurality of object classifications. 16. The method of claim 15 , wherein the first object classification corresponds to inanimate objects and the second object classification corresponds to animate objects. 17. The method of claim 15 , wherein identifying when the stationary object at least partially blocks the passageway of the building comprises: computing a blockage parameter that represents a severity of a blockage of the passageway by the stationary object; comparing the blockage paramet
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Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames · CPC title
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