Systems and methods for building surveillance re-identification based on a building graph

A method, comprising:

• receiving, by one or more processing circuits, a request to generate a video tracking movement of an entity throughout a building;
• searching, by the one or more processing circuits, based on a graph database for the building, a video database for a set of images or videos of a plurality of cameras of the building that track the entity throughout the building, the graph database for the building comprising a plurality of nodes indicating a plurality of spaces of the building and the plurality of cameras of the building, the graph database for the building comprising a plurality of edges between the plurality of nodes representing semantic relationships between the plurality of spaces and the plurality of cameras;
• identifying, by the one or more processing circuits, a set of cameras of the plurality of cameras associated with the set of images or videos;
• identifying, by the one or more processing circuits, a set of nodes of the graph database for the building representing the set of cameras;
• identifying, by the one or more processing circuits, camera characteristics of the set of cameras by identifying edges of the plurality of edges linking the set of nodes to nodes representing the camera characteristics;
• normalizing, by the one or more processing circuits, the set of images or videos based on the camera characteristics of the set of cameras;
• and
• joining, by the one or more processing circuits, the set of images or videos together to create the video.

A system comprising one or more memory devices storing instructions thereon that, when executed by one or more processors, cause the one or more processors to:

• receive a request to generate a video tracking movement of an entity throughout an environment;
• search, based on a digital twin of the environment comprising a graph database, a video database for a set of images or videos of a plurality of cameras of the environment that track the entity throughout the environment, the graph database of the digital twin representing areas of the environment and the plurality of cameras of the environment, the graph database of the digital twin representing semantic relationships between the areas and the plurality of cameras;
• identify a set of cameras of the plurality of cameras associated with the set of images or videos;
• identify a set of nodes of the graph database of the digital twin representing the set of cameras;
• identify camera characteristics of the set of cameras by identifying one or more relationships of the graph database of the digital twin linking the set of nodes to nodes representing the camera characteristics;
• normalizing the set of images or videos based on the camera characteristics of the set of cameras;
• and
• join the set of images or videos together to create the video.