Abstract: System and method include: receiving location information about a mobile device; creating trackable data structures; determining a movement path of the mobile device; receiving image streams from a plurality of cameras; identifying one or more cameras in the movement path; identifying relevant image streams from the identified one or more cameras in relevant to a time and location of the mobile device in the movement path, by associating the image timestamps from the identified one or more cameras with the location and the tracking timestamps of the trackable data structures in the movement path; wherein each identified relevant image stream includes a confidence level of relevance to trackable data structures in the movement path; and displaying the movement path of the mobile device and the identified relevant image streams that include a confidence level higher than a predetermined threshold on a map on a display screen.

Abstract: System and method for monitoring and tracking of non cooperative devices in a communication network that includes a plurality of radio signal-enabled devices communicating with each other includes: monitoring, by each of the plurality of radio signal-enabled devices, interference signals and frequencies of the interference signals from a plurality of non-cooperative devices that are not coupled to the communication network; receiving interference signals and the frequencies from the plurality of radio signal-enabled devices; recording a power level for each of the received interference signals; identifying signals of interest and filtering out signals of no interest responsive to the power levels; detecting a unique device identification for a non-cooperative user device not coupled to the communication network, responsive to the identified signals of interest; and tracking the non-cooperative user device responsive to the identified signals of interest and the predetermined locations of the plurality of radi

Abstract: System and method include: receiving location information about a mobile device; creating trackable data structures; determining a movement path of the mobile device; receiving image streams from a plurality of cameras; identifying one or more cameras in the movement path; identifying relevant image streams from the identified one or more cameras in relevant to a time and location of the mobile device in the movement path, by associating the image timestamps from the identified one or more cameras with the location and the tracking timestamps of the trackable data structures in the movement path; wherein each identified relevant image stream includes a confidence level of relevance to trackable data structures in the movement path; and displaying the movement path of the mobile device and the identified relevant image streams that include a confidence level higher than a predetermined threshold on a map on a display screen.

Abstract: System and method for monitoring and tracking of non cooperative devices in a communication network that includes a plurality of radio signal-enabled devices communicating with each other includes: monitoring, by each of the plurality of radio signal-enabled devices, interference signals and frequencies of the interference signals from a plurality of non-cooperative devices that are not coupled to the communication network; receiving interference signals and the frequencies from the plurality of radio signal-enabled devices; recording a power level for each of the received interference signals; identifying signals of interest and filtering out signals of no interest responsive to the power levels; detecting a unique device identification for a non-cooperative user device not coupled to the communication network, responsive to the identified signals of interest; and tracking the non-cooperative user device responsive to the identified signals of interest and the predetermined locations of the plurality of radi

Abstract: System and method for tracking a mobile device includes: receiving unique identifications for a mobile device; filtering out the unique identifications to obtain a true identifications for the mobile device; identifying cameras relevant to movement of the mobile device; receiving video streams; generating data structures for the video streams and tracking information of the mobile device, the data structure including time stamped videos, and viewpoints of the identified cameras; utilizing the data structures to retrieve, video and tracking information for the mobile device and the user, as the mobile moves in the site; and applying analytics to the retrieved video and tracking information to analyze behavior of the user and to predict what the user will do while on site.

Abstract: A system and method for identifying mobile users in a site includes: receiving, in real time, data packets from wireless access points; identifying unique device identifications from the received data packets, and time stamping each identified unique device identification; determining repetitive or false unique device identifications in the identified unique device identification; and eliminating the repetitive or false unique device identifications in the identified unique device identification to obtain a plurality of accurate unique device identifications.

Abstract: A system and method for identifying mobile users in a site includes: receiving, in real time, data packets from wireless access points; identifying unique device identifications from the received data packets, and time stamping each identified unique device identification; determining repetitive or false unique device identifications in the identified unique device identification; and eliminating the repetitive or false unique device identifications in the identified unique device identification to obtain a plurality of accurate unique device identifications.

Abstract: A system and method for identifying mobile users in a site includes: receiving, in real time, data packets from wireless access points; identifying unique device identifications from the received data packets, and time stamping each identified unique device identification; determining repetitive or false unique device identifications in the identified unique device identification; and eliminating the repetitive or false unique device identifications in the identified unique device identification to obtain a plurality of accurate unique device identifications.

Abstract: System and method for tracking a mobile device includes: receiving unique identifications for a mobile device; filtering out the unique identifications to obtain a true identifications for the mobile device; identifying cameras relevant to movement of the mobile device; receiving video streams; generating data structures for the video streams and tracking information of the mobile device, the data structure including time stamped videos, and viewpoints of the identified cameras; utilizing the data structures to retrieve, video and tracking information for the mobile device and the user, as the mobile moves in the site; and applying analytics to the retrieved video and tracking information to analyze behavior of the user and to predict what the user will do while on site.

Abstract: Computer-implemented systems and methods for the sale of consumer services. Predictions are made based on the behaviors, preferences, assets, identifying characteristics, and other attributes associated with customers and merchants. In one implementation, a prediction is made as to whether a customer is likely to request a service and whether a merchant is likely to be selected by the customer to provide the service. In another implementation, the calendars of a merchant and customer are automatically updated to account for the customer's late arrival to an appointment at the merchants location. In yet another implementation, a customer purchases an appointment for a service from another customer that has the appointment scheduled with a merchant providing the service.

Abstract: A system and method for identifying mobile users in a site includes: receiving, in real time, data packets from wireless access points; identifying unique device identifications from the received data packets, and time stamping each identified unique device identification; determining repetitive or false unique device identifications in the identified unique device identification; and eliminating the repetitive or false unique device identifications in the identified unique device identification to obtain a plurality of accurate unique device identifications.

Abstract: System and method for tracking a mobile device includes: receiving unique identifications for a mobile device; filtering out the unique identifications to obtain a true identifications for the mobile device; identifying cameras relevant to movement of the mobile device; receiving video streams; generating data structures for the video streams and tracking information of the mobile device, the data structure including time stamped videos, and viewpoints of the identified cameras; utilizing the data structures to retrieve, video and tracking information for the mobile device and the user, as the mobile moves in the site; and applying analytics to the retrieved video and tracking information to analyze behavior of the user and to predict what the user will do while on site.

Abstract: A system and method for identifying mobile users in a site includes: receiving, in real time, data packets from wireless access points; identifying unique device identifications from the received data packets, and time stamping each identified unique device identification; determining repetitive or false unique device identifications in the identified unique device identification; and eliminating the repetitive or false unique device identifications in the identified unique device identification to obtain a plurality of accurate unique device identifications.

Abstract: A system and method for identifying mobile users in a site includes: receiving, in real time, data packets from wireless access points; identifying unique device identifications from the received data packets, and time stamping each identified unique device identification; determining repetitive or false unique device identifications in the identified unique device identification; and eliminating the repetitive or false unique device identifications in the identified unique device identification to obtain a plurality of accurate unique device identifications.

Abstract: System and method for tracking a mobile device includes: receiving unique identifications for a mobile device; filtering out the unique identifications to obtain a true identifications for the mobile device; identifying cameras relevant to movement of the mobile device; receiving video streams; generating data structures for the video streams and tracking information of the mobile device, the data structure including time stamped videos, and viewpoints of the identified cameras; utilizing the data structures to retrieve, video and tracking information for the mobile device and the user, as the mobile moves in the site; and applying analytics to the retrieved video and tracking information to analyze behavior of the user and to predict what the user will do while on site.

Abstract: A virtual venue application for displaying information is provided. The virtual venue application is implemented as part of an apparatus or a system. The virtual venue application allows one or more users to display an object within a virtual environment. The virtual venue application also associates a unique identifier with the display object, the unique identifier defining a maximum quantity of copies of the display object that are allowed within the virtual environment.

Abstract: Computer-implemented systems and methods for the sale of consumer services. Predictions are made based on the behaviors, preferences, assets, identifying characteristics, and other attributes associated with customers and merchants. In one implementation, a prediction is made as to whether a customer is likely to request a service and whether a merchant is likely to be selected by the customer to provide the service. In another implementation, the calendars of a merchant and customer are automatically updated to account for the customer's late arrival to an appointment at the merchants location. In yet another implementation, a customer purchases an appointment for a service from another customer that has the appointment scheduled with a merchant providing the service.

Abstract: Utilization of the E-Metro Community and Personal Information Agents assure an effective and comprehensive agent-rule based command and control of informational assets in a networked computer environment. The concerns of informational privacy and informational self-determination are addressed squarely by the invention affording persons and entities a trusted means to author, secure, search, process, and exchange personal and/or confidential information in a networked computer environment. The formation of trusted electronic communities wherein members command and control their digital persona, exchanging or brokering for value the trusted utility of their informational assets is made possible by the invention. The present invention provides for the trusted utilization of personal data in electronic markets, providing both communities and individuals aggregate and individual rule-based control of the processing of their personal data.

Abstract: Methods and apparatus are provided for a enterprise-wide work flow system that may encompass multiple geographically separate sites. The sites may be either permanently or transiently linked. A single computer network may accommodate multiple work flow systems and a single work flow system may be distributed over multiple local area networks. The system maintains the paradigm of one global queue per service and provides for individual work flow systems to export services to one another in an enterprise.

Abstract: A method and software apparatus for a short-bidding auction manager is disclosed. One embodiment allows potential buyers to submit short-bids, so named because they fall short of an auction seller's asking price, and collects the short-bids on behalf of the auction seller. Additionally, a buyer may submit a bid that is higher or lower than previous bids. While short-bids are below what is considered acceptable, such bids may be reviewed and individually accepted by the seller, but the highest short-bid is considered the best short-bid offered since the seller intends to realize the most money from the sale. Meanwhile, one embodiment waits for auction completion and automatically consummates transactions for the highest above asking price bid or bids but at any point in time during the auction, short-bids and/or acceptable bids so far may be consummated before the auction ends.