Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for monitoring a vehicle are disclosed. A vehicle monitoring system for monitoring a vehicle includes one or more processors and one or more computer storage media storing instructions that are operable, when executed by the one or more processors, to cause the one or more processors to perform operations. The operations include: receiving, from a vehicle occupancy monitor and by the vehicle monitoring system, vehicle occupancy data that indicates presence of a vehicle occupant; receiving, by the vehicle monitoring system and from a sensor, sensor data that indicates an attribute of the vehicle; analyzing, by the vehicle monitoring system, the vehicle occupancy data and the sensor data; and based on analyzing the vehicle occupancy data and the sensor data, performing a vehicle monitoring system action.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for monitoring a vehicle are disclosed. A vehicle monitoring system for monitoring a vehicle includes one or more processors and one or more computer storage media storing instructions that are operable, when executed by the one or more processors, to cause the one or more processors to perform operations. The operations include: receiving, from a vehicle occupancy monitor and by the vehicle monitoring system, vehicle occupancy data that indicates presence of a vehicle occupant; receiving, by the vehicle monitoring system and from a sensor, sensor data that indicates an attribute of the vehicle; analyzing, by the vehicle monitoring system, the vehicle occupancy data and the sensor data; and based on analyzing the vehicle occupancy data and the sensor data, performing a vehicle monitoring system action.

Abstract: A method and system using face tracking and object tracking is disclosed. The method and system use face tracking, location, and/or recognition to enhance object tracking, and use object tracking and/or location to enhance face tracking.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, purging carbon monoxide (CO) from within a property. The methods, systems, and apparatus include actions of obtaining a reading from a carbon monoxide sensor in a property, determining that carbon monoxide in a property satisfies a carbon monoxide criteria based on the reading from the carbon monoxide sensor, obtaining a reading from a fire sensor, determining that a fire is not in the property based on the reading from the fire sensor, and in response to determining that carbon monoxide in the property satisfies the carbon monoxide criteria and that a fire is not in the property, triggering air in the property to be vented outside the property.

Abstract: A system and method to automatically generate a secondary video stream based on an incoming primary video stream. The method including performing video analytics on the primary video stream to generate one or more analysis results, detecting the first target of interest using the analysis results, automatically extracting a first secondary video stream that captures at least a portion of a first target of interest and has a field of view smaller than that of the primary video stream, tracking the first target of interest, displaying the first secondary video stream, detecting a second target of interest using the analysis results, automatically adapting the first secondary video stream from the primary video stream to capture a portion of the first and second targets of interest, tracking the second target of interest, and displaying the first secondary stream including the portion of the first and second targets of interest.

Abstract: A method and system using face tracking and object tracking is disclosed. The method and system use face tracking, location, and/or recognition to enhance object tracking, and use object tracking and/or location to enhance face tracking.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for monitoring a vehicle are disclosed. A vehicle monitoring system for monitoring a vehicle includes one or more processors and one or more computer storage media storing instructions that are operable, when executed by the one or more processors, to cause the one or more processors to perform operations. The operations include: receiving, from a vehicle occupancy monitor and by the vehicle monitoring system, vehicle occupancy data that indicates presence of a vehicle occupant; receiving, by the vehicle monitoring system and from a sensor, sensor data that indicates an attribute of the vehicle; analyzing, by the vehicle monitoring system, the vehicle occupancy data and the sensor data; and based on analyzing the vehicle occupancy data and the sensor data, performing a vehicle monitoring system action.

Abstract: A method and system using face tracking and object tracking is disclosed. The method and system use face tracking, location, and/or recognition to enhance object tracking, and use object tracking and/or location to enhance face tracking.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for monitoring a vehicle are disclosed. A vehicle monitoring system for monitoring a vehicle includes one or more processors and one or more computer storage media storing instructions that are operable, when executed by the one or more processors, to cause the one or more processors to perform operations. The operations include: receiving, from a vehicle occupancy monitor and by the vehicle monitoring system, vehicle occupancy data that indicates presence of a vehicle occupant; receiving, by the vehicle monitoring system and from a sensor, sensor data that indicates an attribute of the vehicle; analyzing, by the vehicle monitoring system, the vehicle occupancy data and the sensor data; and based on analyzing the vehicle occupancy data and the sensor data, performing a vehicle monitoring system action.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for cooperative video surveillance. The methods, systems, and apparatus include actions of determining that a vehicle has arrived at a particular parking spot, determining a view of a property for an onboard camera for the vehicle, providing a detection rule to the vehicle based on the view of the property for the onboard camera for the vehicle, and receiving an image captured by the onboard camera for the vehicle based on satisfaction of the detection rule.

Abstract: Methods and systems including computer programs encoded on a computer storage medium, for receiving, from a camera, an image in which the camera detected a particular event based on a first set of camera settings, determining, from the image, that the image is a false positive as the camera falsely detected the particular event, determining that a number of images uploaded by the camera that are false positives satisfies a camera setting generation criteria, and in response, generating a second set of camera settings and providing the second set of camera settings to the camera.

Abstract: A system and method to automatically generate a secondary video stream based on an incoming primary video stream. The method including performing video analytics on the primary video stream to generate one or more analysis results, detecting the first target of interest using the analysis results, automatically extracting a first secondary video stream that captures at least a portion of a first target of interest and has a field of view smaller than that of the primary video stream, tracking the first target of interest displaying the first secondary video stream, detecting a second target of interest using the analysis results, automatically adapting the first secondary video stream from the primary video stream to capture a portion of the first and second targets of interest, tracking the second target of interest, and displaying the first secondary stream including the portion of the first and second targets of interest.

Abstract: Methods and systems including computer programs encoded on a computer storage medium, for receiving, from a camera, a set of images in which the camera detected a particular event based on a first set of camera settings, determining that false detections in the set of images made by the camera based on the first set of camera settings were caused by localized errors, and in response, generating a second set of camera settings based on the localized errors and providing the second set of camera settings to the camera.

Abstract: A system and method to automatically generate a secondary video stream based on an incoming primary video stream. The method including performing video analytics on the primary video stream to generate one or more analysis results, detecting the first target of interest using the analysis results, automatically extracting a first secondary video stream that captures at least a portion of a first target of interest and has a field of view smaller than that of the primary video stream, tracking the first target of interest, displaying the first secondary video stream, detecting a second target of interest using the analysis results, automatically adapting the first secondary video stream from the primary video stream to capture a portion of the first and second targets of interest, tracking the second target of interest, and displaying the first secondary stream including the portion of the first and second targets of interest.

Abstract: Methods and systems are provided for monitoring a point of sale (POS) transaction. Operations performed by the methods and systems include generating POS primitives by processing non-video data of a transaction recorded at POS terminal. The operations also include generating video primitives by processing video data of the transaction recorded at the POS terminal. The operations further include determining that the transaction comprises an exceptional transaction by comparing the non-video data and/or the video data to exceptional transaction rules. Additionally, the operations include determining that the exceptional transaction comprises a verified exceptional transaction by generating a video event based on the video primitives and a corresponding video rule.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, purging carbon monoxide (CO) from within a property. The methods, systems, and apparatus include actions of obtaining a reading from a carbon monoxide sensor in a property, determining that carbon monoxide in a property satisfies a carbon monoxide criteria based on the reading from the carbon monoxide sensor, obtaining a reading from a fire sensor, determining that a fire is not in the property based on the reading from the fire sensor, and in response to determining that carbon monoxide in the property satisfies the carbon monoxide criteria and that a fire is not in the property, triggering air in the property to be vented outside the property.

Abstract: A system and method to automatically generate a secondary video stream based on an incoming primary video stream. The method including performing video analytics on the primary video stream to generate one or more analysis results, detecting the first target of interest using the analysis results, automatically extracting a first secondary video stream that captures at least a portion of a first target of interest and has a field of view smaller than that of the primary video stream, tracking the first target of interest, displaying the first secondary video stream, detecting a second target of interest using the analysis results, automatically adapting the first secondary video stream from the primary video stream to capture a portion of the first and second targets of interest, tracking the second target of interest, and displaying the first secondary stream including the portion of the first and second targets of interest.

Abstract: A method and system using face tracking and object tracking is disclosed. The method and system use face tracking, location, and/or recognition to enhance object tracking, and use object tracking and/or location to enhance face tracking.

Abstract: Methods and systems including computer programs encoded on a computer storage medium, for receiving, from a camera, a set of images in which the camera detected a particular event based on a first set of camera settings, determining that false detections in the set of images made by the camera based on the first set of camera settings were caused by localized errors, and in response, generating a second set of camera settings based on the localized errors and providing the second set of camera settings to the camera.