Apparatus and method for monitoring premises
US-2017185849-A1 · Jun 29, 2017 · US
US11295140B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11295140-B2 |
| Application number | US-201916353954-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 14, 2019 |
| Priority date | Mar 14, 2018 |
| Publication date | Apr 5, 2022 |
| Grant date | Apr 5, 2022 |
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A camera system may automatically identify high frequency motion regions in a field of view of the camera system. Analysis of motion events detected at different regions of a scene in the field of view, may be performed. Similar events frequently occurring at a certain region may be recorded/accumulated and compared to a threshold. Regions with high frequency activity may be determined and a user may be notified. If the user is not interested in events within the high activity regions, the regions may be ignored and notifications to the user may cease. The camera system may determine specific actions/events occurring in a region, such as a person approaching or leaving a home.
Opening claim text (preview).
What is claimed is: 1. A method comprising: based on a quantity of motion events in a first portion of a field of view satisfying a threshold, associating the portion of the field of view with a reduced notification setting; after associating the portion of the field of view with the reduced notification setting, determining a subsequent motion event in the portion of the field of view; and based on object recognition of an object associated with the subsequent motion event, sending a notification. 2. The method of claim 1 , further comprising determining, for one or more frames of a plurality of frames of video associated with the portion of the field of view, based on a plurality of pixels associated with a frame of the one or more frames being either different from or the same as a corresponding plurality of pixels associated with a previous frame of the one or more frames, a motion indication of a plurality of motion indications. 3. The method of claim 1 , wherein the reduced notification setting comprises at least one of: a notification exclusion setting, a notification withholding setting, or a reduced processing priority. 4. The method of claim 1 , wherein associating the portion of the field of view with the reduced notification setting comprises applying a mask to the portion of the field of view. 5. The method of claim 1 , further comprising: determining the object associated with the subsequent motion event, wherein determining the object comprises at least one of: facial recognition or object recognition. 6. The method of claim 1 , wherein the threshold comprises a quantity of motion events taking place within a period of time and wherein the notification comprises a security alarm. 7. The method of claim 1 , wherein the object comprises a recognized object, the method further comprising determining the recognized object violates a security setting. 8. The method of claim 1 , wherein the subsequent motion event comprises one or more motions associated with one or more objects in at least one frame of a video captured by an image capturing device. 9. The method of claim 1 , wherein the threshold comprises a motion event frequency threshold. 10. A method comprising: based on a quantity of motion indications associated with a portion of a field of view satisfying a threshold, associating the portion of the field of view with a reduced notification setting; after associating the portion of the field of view with the reduced notification setting, determining a subsequent motion indication in the portion of the field of view; and withholding, based on object recognition of an object associated with the subsequent motion indication, a notification associated with the subsequent motion indication. 11. The method of claim 10 , further comprising determining, for one or more frames of a plurality of frames of video associated with the portion of the field of view, based on a plurality of pixels associated with a frame of the one or more frames being either different from or the same as a corresponding plurality of pixels associated with a previous frame of the one or more frames, a value of a motion indication parameter of the quantity of motion indications. 12. The method of claim 10 , wherein the quantity of motion indications comprises a first value if a plurality of pixels associated with a frame is different from a corresponding plurality of pixels from a previous frame, and a second value if the plurality of pixels associated with the frame is the same as the corresponding plurality of pixels from the previous frame. 13. The method of claim 10 , wherein the quantity of motion indications comprises one or more changes in at least one value associated with at least one pixel of a frame of a video. 14. The method of claim 10 , wherein withholding the notification associated with the subsequent motion indication comprises: based on the object associated with the subsequent motion indication comprising a recognized object, not sending the notification. 15. An apparatus comprising: one or more processors; and memory storing processor executable instructions that, when executed by the one or more processors, cause the apparatus to: based on a quantity of motion events in a portion of a field of view satisfying a threshold, associate the portion of the field of view with a reduced notification setting; after associating the portion of the field of view with the reduced notification setting, determine a subsequent motion event in the portion of the field of view; and based on object recognition of an object associated with the subsequent motion event, send a notification. 16. An apparatus comprising: one or more processors; and memory storing processor executable instructions that, when executed by the one or more processors, cause the apparatus to: based on a quantity of motion indications in a portion of a field of view satisfying a threshold, associate the portion of the field of view with a reduced notification setting; after associating the portion of the field of view with the reduced notification setting, determine a subsequent motion indication in the portion of the field of view; and withhold, based on object recognition of an object associated with the subsequent motion indication, a notification associated with the subsequent motion indication. 17. A system comprising: a computing device configured to: based on a quantity of motion events in a portion of a field of view satisfying a threshold, associate the portion of the field of view with a reduced notification setting; after associating the portion of the field of view with the reduced notification setting, determine a subsequent motion event in the portion of the field of view; based on object recognition of an object associated with the subsequent motion event, send a notification; and a security device configured to receive the notification. 18. The system of claim 17 , wherein the computing device is further configured to determine, for one or more frames of a plurality of frames of video associated with the portion of the field of view, based on a plurality of pixels associated with a frame of the one or more frames being either different from or the same as a corresponding plurality of pixels associated with a previous frame of the one or more frames, a motion indication of a plurality of motion indications. 19. The system of claim 17 , wherein the reduced notification setting comprises at least one of: a notification exclusion setting, a notification withholding setting, or a reduced processing priority. 20. The system of claim 17 , wherein the computing device is configured to associate the portion of the field of view with the reduced notification setting by applying a mask to the portion of the field of view. 21. The system of claim 17 , further comprising determining the object associated with the subsequent motion event, wherein determining the object comprises at least one of: facial recognition or object recognition. 22. The system of claim 17 , wherein the object is a recognized object and wherein the computing device is further configured to determine the recognized object violates a security setting.
Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion · CPC title
using neural networks · CPC title
Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN] · CPC title
using classification, e.g. of video objects · CPC title
Distances to neighbourhood prototypes, e.g. restricted Coulomb energy networks [RCEN] · CPC title
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