Dynamic person queue analytics

An apparatus, comprising:

• one or more network interfaces to communicate with a network;
• a processor coupled to the network interfaces and configured to execute one or more processes;
• and
• a memory configured to store a process executable by the processor, the process when executed configured to:
• identify, from image data captured by one or more cameras of a physical location, a focal point of interest and people located within the physical location;
• form a set of nodes, wherein a given node represents one or more of the identified people located within the physical location;
• represent a person queue as an ordered list of nodes from the set of nodes;
• add a particular one of the set of nodes to the list based on the particular node being within a predefined distance to the focal point of interest;
• add one or more nodes from the set to the list based on the added node being within an angle and distance range trailing a forward direction associated with at least one node in the list, wherein the angle and the distance range are determined using a multimodal recurrent neural network;
• regress the angle and distance range by using temporal information as input to the multimodal recurrent neural network to identify a queue pattern of the person queue comprising at least one of:
• a fan out pattern for the person queue, a fan in pattern for the person queue, a person queue that is parallel to the person queue, or a zig zag pattern of the person queue;
• and
• provide an indication of the person queue and the queue pattern to an interface.

A tangible, non-transitory, computer-readable media having software encoded thereon, the software when executed by a device cause the device to perform a process comprising:

• identifying, by the device and from image data captured by one or more cameras of a physical location, a focal point of interest and people located within the physical location;
• forming, by the device, a set of nodes, wherein a given node represents one or more of the identified people located within the physical location;
• representing, by the device, a person queue as an ordered list of nodes from the set of nodes;
• adding, by the device, a particular one of the set of nodes to the list based on the particular node being within a predefined distance to the focal point of interest;
• adding, by the device, one or more nodes to the list based on the added node being within an angle and distance range trailing a forward direction associated with at least one node in the list wherein the angle and the distance range are determined using a multimodal recurrent neural network;
• regressing, by the device, the angle and distance range by using temporal information as input to the multimodal recurrent neural network to identify a queue pattern of the person queue comprising at least one of:
• a fan out pattern for the person queue, a fan in pattern for the person queue, a person queue that is parallel to the person queue, or a zig zag pattern of the person queue;
• and
• providing, by the device, an indication of the person queue and the queue pattern to an interface.