The present disclosure is directed to a method for determining a location of a person or object within a space. The method includes obtaining, by one or more computing device, data from one or more sensor devices associated with one or more connected devices located within the space. The method further includes generating, by the one or more computing devices, metadata indicative of presence of the person or object within the space based, at least in part, on the data. The method further includes obtaining, by the one or more computing device, data indicative of a user request associated with obtaining a location of the person or object within the space. The method further includes determining, by, the one or more computing devices, the location of the person or object based, at least in part, on the metadata.

An information processing apparatus according to the present invention includes: a display control unit that displays, on a screen, a map of a search area and a plurality of camera icons indicating a location of a surveillance camera on the map; an operation receiving unit that receives an operation of superimposing a first camera icon on a second camera icon among the plurality of camera icons; and a processing request unit that requests, based on the operation, a search process for common person shown in common in both a first surveillance video captured by the surveillance camera corresponding to the first camera icon and a second surveillance video captured by the surveillance camera corresponding to the second camera icon.

Methods and processes for manufacture of an image product from a digital image. An object in the digital image is detected and recognized. Object metadata is assigned to the object, the object metadata linking sound to the object in the digital image which produced the sound. At least one cryptographic hash of the object metadata is generated, and the hash is written to a node of a transaction processing network.

A video surveillance system and computer assisted method stores video streams of numerous video cameras installed throughout a facility (e.g., a school, an airport, etc.) and batch searches those video streams for relevant video frames that may show an individual with certain predetermined facial features. In some examples, the search range is limited by a specified time window, by certain designated cameras, and/or by certain predetermined areas of the facility. From those video streams, a collection of video clips containing the relevant video frames are identified and batch exported for later analysis by video surveillance personnel. In some examples, the collected video clips are compiled into a single composite video with the video clips being arranged by time for convenient and efficient viewing. In addition or alternatively, in some examples, the video clips are stored as separate files in a directory for viewing the video clips individually.

A video surveillance system and computer assisted method stores video streams of numerous video cameras installed throughout a facility (e.g., a school, an airport, etc.) and batch searches those video streams for relevant video frames that may show an individual with certain predetermined facial features. In some examples, the search range is limited by a specified time window, by certain designated cameras, and/or by certain predetermined areas of the facility. From those video streams, a collection of video clips containing the relevant video frames are identified and batch exported for later analysis by video surveillance personnel. In some examples, the collected video clips are compiled into a single composite video with the video clips being arranged by time for convenient and efficient viewing. In addition or alternatively, in some examples, the video clips are stored as separate files in a directory for viewing the video clips individually.

The present invention provides a biometric notification system for selectively sending messages to interested recipients. In various embodiments, message trigger criteria, interested recipients, and message content may vary depending upon, among other things, the service being provided.

This disclosure relates to a video processing method, a video processing apparatus, and a computer-readable storage medium. The video processing method includes: providing a first user with an interactive interface for tagging people in a video; receiving a tagging operation on at least one people in the video, which is inputted by the first user through the interactive interface; and in response to the tagging operation of the first user, displaying a tagging result in-feed outside a video display interface when the video is posted on a social network.

A method for indexing objects in a computerized system having an index, comprising identifying in the computerized system an at least one indexed object that meets an at least one criterion related to contents of the at least one indexed object, detecting an at least one non-indexed object having a property similar to an at least one property of the at least one indexed object that was identified, and indexing the at least one non-indexed object in the index, wherein the method is performed by the computerized system, and an apparatus for performing the same.

A mechanism is described for facilitating recognition, reidentification, and security in machine learning at autonomous machines. A method of embodiments, as described herein, includes facilitating a camera to detect one or more objects within a physical vicinity, the one or more objects including a person, and the physical vicinity including a house, where detecting includes capturing one or more images of one or more portions of a body of the person. The method may further include extracting body features based on the one or more portions of the body, comparing the extracted body features with feature vectors stored at a database, and building a classification model based on the extracted body features over a period of time to facilitate recognition or reidentification of the person independent of facial recognition of the person.

A webcam account security system that allows a user to require activation of a webcam when accessing an account. The system may prompt a user attempting to access the account to activate the webcam and may deny access to the account or require additional security procedures when access to the webcam is not granted. Additionally, the system may store any images or footage captured by the webcam for analysis in the case a fraud notification is received. The system may further deny access to the account when the webcam is unable to detect the face or an identifying characteristic of the person attempting to access the account.