Abstract: A method for natural language-based interaction with a vision-based monitoring system. The method includes obtaining a request input from a user, by the vision-based monitoring system. The request input is directed to an object detected by a classifier of the vision-based monitoring system. The method further includes obtaining an identifier associated with the request input, identifying a site of the vision-based monitoring system from a plurality of sites, based on the identifier, generating a database query, based on the request input and the identified site, and obtaining, from a monitoring system database, video frames that relate to the database query. The video frames include the detected object. The method also includes providing the video frames to the user.

Abstract: In general, embodiments of the invention relate to a method for capturing video frames. The method includes obtaining a depth-data frame of an environment using a depth-sensing camera and an infrared illuminator, where the environment is illuminated by an illumination pattern emitted by the infrared illuminator, obtaining, an infrared illuminator parameterization for the illumination pattern emitted by the infrared illuminator, obtaining a desired frame exposure time, based on a desired frame exposure, determining, based on the infrared illuminator parameterization and the desired frame exposure time, an actual frame exposure time, and after determining the actual frame exposure time, obtaining a frame of the environment using the actual frame exposure time using the infrared illuminator with the illumination pattern.