Abstract: A computing system obtains a first category for a first motion event. The system sends a first alert indicative of the first category to a user. After sending the first alert, it obtains a second category for a second motion event. In accordance with a determination that the second category is the same as the first category, the system determines whether a third motion event of the first category has been detected in a preceding predetermined amount of time before the second motion event. If the third motion event has not been detected in the preceding predetermined amount of time before the second motion event, the system sends a second alert associated with the second motion event indicative of the first category to the user. If the third motion event has been detected in the preceding predetermined amount of time before the second motion event, the system forgoes sending the second alert.

Abstract: A computing system obtains a video feed. For a frame of the video feed, the computing system analyzes the frame to determine whether the frame includes a potential instance of an event. In accordance with a determination that the frame includes the potential instance of an event, the computing system determines for the event an event category from a plurality of predefined event categories. It stores an indication of the event category. It determines whether the event category matches a predefined notification filter definition. In accordance with a determination that the event category matches the predefined notification filter definition, the computing system issues an alert notification to a user client device. In accordance with a determination that the event category does not match the predefined notification filter definition, the computing system refrains from issuing the alert notification.

Abstract: The various implementations described herein include systems and methods for recognizing persons in video streams. In one aspect, a method includes: obtaining images collected by video cameras in a smart home environment, each image including a detected person; for each image, obtaining first information that identifies an attribute of the detected person, the first information generated from analysis of the image; grouping the images into a first group of a plurality of groups based on the first information, each group of the plurality of groups representing a unique person; receiving a request to remove a first image from the first group; removing the first image from the first group; and disassociating the first information from the first group.

Abstract: A method at a computing system includes obtaining video of an environment including a plurality of objects; defining a zone including a portion of the environment; subsequent to the defining, detecting a motion event captured in the video occurring at least partially within the zone, wherein the motion event is associated with a first object of the plurality of objects; identifying an object type of the first object; and based on the object type of the first object, causing a notification of the motion event to be issued or not issued.

Abstract: The various embodiments described herein include methods, devices, and systems for providing event alerts. In one aspect, a method includes obtaining a video feed. A frame of the video feed is analyzed at a first resolution to determine whether the frame includes a potential instance of a person. In accordance with the determination that the image includes the potential instance, a region is denoted around the potential instance. The region is analyzed at a second resolution, greater than the first resolution. In accordance with a determination that the region includes the instance of the person. a determination that the frame includes the person is made. An indication of the determination is stored for use in subsequent alert notification processing.

Abstract: The various implementations described herein include systems and methods for recognizing persons in video streams. In one aspect, a method includes: (1) obtaining images collected by video cameras in a smart home environment, each image including a detected person; (2) for each image, obtaining personally identifiable information of the detected person, the personally identifiable information generated from analysis of the image; (3) grouping the images into a first group of a plurality of groups based on the personally identifiable information, each group of the plurality of groups representing a unique person; (4) receiving from a user a request to remove a first image from the first group; and (5) in response to the request: (a) removing the first image from the first group; and (b) disassociating the corresponding personally identifiable information from the first group.

Abstract: A method at a computing system includes: obtaining video of an environment including a plurality of objects, wherein the video has a field of view; identifying one or more objects of the plurality of objects within the field of view; defining a zone of interest associated with a first object of the one or more objects, including identifying the zone of interest as one of an alerting zone or a suppression zone; subsequent to the defining, detecting one or more motion events captured in the video occurring at least partially within the zone of interest; when the zone of interest is an alerting zone, causing one or more notifications of the one or more motion events to be issued; and when the zone is a suppression zone, suppressing notifications of the one or more motion events.

Abstract: A method at an electronic device with a display includes: displaying a user interface having a first region and a second region; receiving, and displaying in the first region of the user interface, a live video stream of a physical environment captured by a remote video camera; displaying, in the second region, a timeline corresponding to a timespan for a first portion of a duration during which the live video stream may have been recorded; in response to receiving a user interaction to move the timespan to a second portion of the duration, transitioning the displayed timeline to a new timeline that corresponds to the timespan for the second portion, and while transitioning, displaying, in the first region, a subset of video frames representing the first and/or second portion of the duration.

Abstract: The various embodiments described herein include methods, devices, and systems for providing event alerts. In one aspect, a method includes obtaining a video feed. A frame of the video feed is analyzed at a first resolution to determine whether the frame includes a potential instance of a person. In accordance with the determination that the image includes the potential instance, a region is denoted around the potential instance. The region is analyzed at a second resolution, greater than the first resolution. In accordance with a determination that the region includes the instance of the person. a determination that the frame includes the person is made. An indication of the determination is stored for use in subsequent alert notification processing.

Abstract: The various implementations described herein include systems and methods for recognizing persons in video streams. In one aspect, a method includes: (1) obtaining a live video stream; (2) detecting person(s) in the stream; and (3) determining, from analysis of the live video stream, personally identifiable information of the detected person(s); (4) determining, based on the personally identifiable information, that the first person is not known to the computing system; (5) in accordance with the determination that the first person is not known: (a) storing the personally identifiable information; and (b) requesting a user to classify the first person; and (6) in accordance with (i) a determination that a predetermined amount of time has elapsed since the request was transmitted and a response was not received, or (ii) a determination that a response was received classifying the first person as a stranger, deleting the stored personally identifiable information.

Abstract: A method at an electronic device with a display includes: displaying a user interface having a first region and a second region; receiving, and displaying in the first region of the user interface, a live video stream of a physical environment captured by a remote video camera, where at least some of the live video stream is recorded at a remote server; displaying, in the second region, a timeline corresponding to a timespan for a first portion of a duration during which the live video stream may have been recorded; in response to receiving a user interaction to move the timespan to a second portion of the duration, transitioning the displayed timeline to a new timeline that corresponds to the timespan for the second portion, and while transitioning, displaying, in the first region, a subset of video frames representing the first and/or second portion of the duration.

Abstract: The various embodiments described herein include methods, devices, and systems for providing event alerts. In one aspect, a method includes: (1) obtaining a video feed, the video feed comprising a plurality of images; and, (2) for each image, analyzing the image to determine whether the image includes a person, the analyzing including: (a) determining that the image includes a potential instance of a person by analyzing the image at a first resolution; (b) in accordance with the determination that the image includes the potential instance, denoting a region around the potential instance; (c) determining whether the region includes an instance of the person by analyzing the region at a second resolution, greater than the first resolution; and (d) in accordance with a determination that the region includes the instance of the person, determining that the image includes the person.

Abstract: The various embodiments described herein include methods, devices, and systems for providing event alerts. In one aspect, a method includes: (1) receiving a plurality of video frames from a camera, the plurality of video frames including a motion event candidate; (2) categorizing the motion event candidate by processing the plurality of video frames, the categorizing including: (a) associating the motion event candidate with a first category of a plurality of motion event categories; and (b) generating a confidence level for the association of the motion event candidate with the first category; and (3) sending an alert indicative of the first category and the confidence level to a user associated with the camera.

Abstract: The various implementations described herein include systems and methods for recognizing persons in video streams. In one aspect, a method includes: (1) obtaining a live video stream; (2) detecting person(s) in the stream; and (3) determining, from analysis of the live video stream, personally identifiable information of the detected person(s); (4) determining, based on the personally identifiable information, that the first person is not known to the computing system; (5) in accordance with the determination that the first person is not known: (a) storing the personally identifiable information; and (b) requesting a user to classify the first person; and (6) in accordance with (i) a determination that a predetermined amount of time has elapsed since the request was transmitted and a response was not received, or (ii) a determination that a response was received classifying the first person as a stranger, deleting the stored personally identifiable information.

Abstract: The various implementations described herein include systems and methods for recognizing persons in video streams. In one aspect, a method includes: (1) obtaining images collected by video cameras in a smart home environment, each image including a detected person; (2) for each image, obtaining personally identifiable information of the detected person, the personally identifiable information generated from analysis of the image; (3) grouping the images into a first group of a plurality of groups based on the personally identifiable information, each group of the plurality of groups representing a unique person; (4) receiving from a user a request to remove a first image from the first group; and (5) in response to the request: (a) removing the first image from the first group; and (b) disassociating the corresponding personally identifiable information from the first group.

Abstract: A method includes obtaining from an image sensor of a video camera a primary real-time video stream comprising images of a field of view of the video camera; identifying from the primary video stream one or more regions of interest in the field of view of the video camera; while obtaining the primary video stream, creating a first video sub-stream comprising a first plurality of images for a first one of the one or more identified regions of interest, wherein: images of the first plurality of images include image data for portions of the field of the video camera that include the first identified region of interest, and the images of the first plurality of images have fields of view that are smaller than the field of view of the video camera; and providing the first video sub-stream for display at a client device.

Abstract: A method at an electronic device includes obtaining from an image sensor a primary real-time video stream comprising images of a scene; identifying from the primary video stream one or more regions of interest in the scene; while obtaining the primary video stream, creating a first video sub-stream comprising a first plurality of images for a first one of the one or more identified regions of interest, wherein: images of the first plurality of images include image data for portions of the scene that include the first identified region of interest, and the images of the first plurality of images have fields of view that are smaller than the field of view for the images of the primary video stream; and providing the first video sub-stream for display at a client device.

Abstract: A method at a computing system includes: obtaining video of an environment including a plurality of objects, wherein the video has a field of view; identifying one or more objects of the plurality of objects within the field of view; defining a zone of interest associated with a first object of the one or more objects, including identifying the zone of interest as one of an alerting zone or a suppression zone; subsequent to the defining, detecting one or more motion events captured in the video occurring at least partially within the zone of interest; when the zone of interest is an alerting zone, causing one or more notifications of the one or more motion events to be issued; and when the zone is a suppression zone, suppressing notifications of the one or more motion events.

Abstract: A method at a server system includes: receiving a video stream from a remote video camera, wherein the video stream comprises a plurality of video frames; selecting a plurality of non-contiguous frames from the video stream, the plurality of non-contiguous frames being associated with a predetermined time interval; encoding the plurality of non-contiguous frames as a compressed video segment associated with the time interval; receiving a request from an application running on a client device to review video from the remote video camera for the time interval; and in response to the request, transmitting the video segment to the client device for viewing in the application.

Abstract: A method at an electronic device with a display includes: displaying a user interface having a first region and a second region; receiving, and displaying in the first region of the user interface, a live video stream of a physical environment captured by a remote video camera, where at least some of the live video stream is recorded at a remote server; displaying, in the second region, a timeline corresponding to a timespan for a first portion of a duration during which the live video stream may have been recorded; in response to receiving a user interaction to move the timespan to a second portion of the duration, transitioning the displayed timeline to a new timeline that corresponds to the timespan for the second portion, and while transitioning, displaying, in the first region, a subset of video frames representing the first and/or second portion of the duration.