13618 results about "Video monitoring" patented technology

An integrated surveillance system combining video surveillance and data from other sensor-based security networks is used to identify activities that may require attention.

This invention relates to intelligent video surveillance fuzzy logic neural networks, camera systems with local and network-shared communications for facial, physical condition and intoxication recognition. The device we reveal helps reduce underage drinking by detecting and refusing entrance or service to subjects under legal drinking age. The device we reveal can estimate attention of viewers of advertising, entertainment, displays and the like. The invention also relates to method, and Vision, Image and related-data, database-systems to reduce the volume of surveillance data through automatically recognizing and recording only occurrences of exceptions and elimination of non-events thereby achieving a reduction factor of up to 60,000. This invention permits members of the LastCall™ Network to share their databases of the facial recognition and identification of subjects recorded in the exception occurrences with participating members' databases: locally, citywide, nationally and internationally, depending upon level of sharing permission.

An automated self-monitored alarm verification solution including at least a premises portion, a server portion, and an end user device portion. Alarm verification includes capturing by an image capture device at least one image in response to a detection event, and transmitting a first data signal including the image to a local signal processing device. The signal processing device transmits a second signal including at least a portion of the image to a remote hosted server according to at least a first set of predetermined parameters. After receiving the second signal, the server transmits a third signal including at least a portion of the image from the hosted server to a user device. Using the user device, a user views the image and indicates a validity status of the alarm based at least in part on the content of the image. Based at least upon either the validation status indicated by the user, or upon a failure to receive a message including a validation status from the user within a predetermined duration of time, the server portion may send an alarm signal to an emergency response service.

A video surveillance system is set up, calibrated, tasked, and operated. The system extracts video primitives and extracts event occurrences from the video primitives using event discriminators. The extracted video primitives and event occurrences may be used to create and define additional video analytic rules. The system can undertake a response, such as an alarm, based on extracted event occurrences.

A method of storing and accessing surveillance camera video data is provided. Captured video data as well as corresponding metadata is stored, at least temporarily, at the user sites. Additionally, the metadata and at least a portion of the video data is transmitted to a remotely located third party site where it is stored. The user server systems located at the independent user sites are connected to the third party server system via the Internet. Parties having data access rights, i.e., validated users, access the data stored at the third party site using Internet connected secondary computer systems.

Video surveillance data is received from multiple disparate, unaffiliated locations at which various items are offered for sale. Based on the content of the video surveillance data, consumer preference behavior is characterized with respect to at least some of the items. The data is consolidated and can be made available for analysis.

A video surveillance system extracts video primitives and extracts event occurrences from the video primitives using event discriminators. The system can undertake a response, such as an alarm, based on extracted event occurrences.

A video surveillance system uses rule-based reasoning and multiple-hypothesis scoring to detect predefined behaviors based on movement through zone patterns. Trajectory hypothesis spawning allows for trajectory splitting and/or merging and includes local pruning to managed hypothesis growth. Hypotheses are scored based on a number of criteria, illustratively including at least one non-spatial parameter. Connection probabilities computed during the hypothesis spawning process are based on a number of criteria, illustratively including object size. Object detection and probability scoring is illustratively based on object class.

A system (10) for automatically monitoring an area includes a camera unit (12) having therein a video camera (23) and an image processing section (27). The image processing section saves a reference image from the video camera, compares subsequent images to the reference image, and detects and tracks change regions in the subsequent images. For each change region, the image processing section saves a path of movement of the change region, and a selected image of the change region. Selection is carried out so as to optimize the selected image, for example so that a detected person is facing and close to the video camera. The camera unit is network-ready (14), so that a remote workstation (13) can access the images and other information saved in the camera unit.

A video surveillance system is set up, calibrated, tasked, and operated. The system extracts video primitives and extracts event occurrences from the video primitives using event discriminators. The system can undertake a response, such as an alarm, based on extracted event occurrences.

A video monitoring system for a plurality of sites. A site security system is located at each site and includes one or more video cameras each outputting a video signal and a processor configured to receive a video signal from each camera, detect predetermined events based on the video signal, generate a video alarm signal upon the detection of an event, transmit the video alarm signal to a central station, and establish a video signal link either with the central station or one of a plurality of satellite stations according to a predetermined protocol upon the transmission of a video alarm signal. A central station includes a router for routing any received video signal to one or more workstations and for routing the video alarm signal to a server configured to associate the video alarm signal with a particular satellite station and to forward the video alarm signal to that satellite station. The satellite station includes a workstation configured to receive the video alarm signal from the central station and to receive the video signal from the site security system.

A wireless multi-handset telephone system with integrated video monitoring. A speakerphone base unit, at least one camera module, at least one combination video/voice handset, and at least one voice handset operate together such that voice and data are transmitted (i) between the speakerphone base unit and the at least one camera module and (ii) between the speakerphone base unit and the at least one voice handset, and video images are transmitted from the at least one camera module to the at least one combination video/voice handset.

A security system which is nonintrusive of personal privacy of a person in a space comprises at least a first localization sensor subsystem, if any, in the possession of the person; a video surveillance subsystem arranged and configured to collect visual data related to the person in the space; and a computer subsystem coupled to the localization sensor subsystem and video surveillance subsystem to associate a predetermined privacy level with the localization sensor subsystem, and to provide an access control privilege with the localization sensor subsystem, the computer subsystem determining how to present, store and/or retrieve the visual data while meeting predetermined the privacy level associated with the person.

This invention describes a video surveillance system which is composed of three key components 1—smart camera(s), 2—server(s), 3—client(s), connected through IP-networks in wired or wireless configurations. The system has been designed so as to protect the privacy of people and goods under surveillance. Smart cameras are based on JPEG 2000 compression where an analysis module allows for efficient use of security tools for the purpose of scrambling, and event detection. The analysis is also used in order to provide a better quality in regions of the interest in the scene. Compressed video streams leaving the camera(s) are scrambled and signed for the purpose of privacy and data integrity verification using JPSEC compliant methods. The same bit stream is also protected based on JPWL compliant methods for robustness to transmission errors. The operations of the smart camera are optimized in order to provide the best compromise in terms of perceived visual quality of the decoded video, versus the amount of power consumption. The smart camera(s) can be wireless in both power and communication connections. The server(s) receive(s), store(s), manage(s) and dispatch(es) the video sequences on wired and wireless channels to a variety of clients and users with different device capabilities, channel characteristics and preferences. Use of seamless scalable coding of video sequences prevents any need for transcoding operations at any point in the system.

A video surveillance system is set up, calibrated, tasked, and operated. The system extracts video primitives and extracts event occurrences from the video primitives using event discriminators. The system can undertake a response, such as an alarm, based on extracted event occurrences.

Rules are applied to video surveillance data to detect events. Localization of the events is achieved by decomposing events into distinct components, each of which can, in some embodiments, be defined at different locations and by different users.

One embodiment is a method of storing video data from a video surveillance system having one or more cameras. Video data is captured from one or more surveillance cameras. Meta-data is automatically generated by performing video analysis on the captured video data from the surveillance cameras. A human operator may manually enter additional meta-data. Attribute data and associated weights, representing information about the relevance of the meta-data, is received. The video data is stored in a hierarchical video storage area; the meta-data, indexed by date and time stamp to the video data, is stored in a meta-data storage area; and the attribute data is stored in an attribute storage area. One or more alerts may be issued based on the past and present meta-data. The video data is secured by encrypting and storing the video data remotely, and audit trails are generated about who and when viewed the video data.

The invention discloses an intelligent visual sensor network moving target relay tracking system based on a GPS (global positioning system) and a GIS (geographic information system). The intelligent visual sensor network moving target relay tracking system comprises a plurality of monitoring camera shooting unit, each monitoring camera shooting unit comprises a monitoring camera, a GPS receiving positioning module and a wired/wireless communication module are embedded into or disposed in each monitoring camera shooting unit, each monitoring camera shooting unit is used for acquiring video sequences in a monitoring area, and each wired/wireless communication module is used for transmitting the video sequences to a monitoring center via a wired or wireless digital communication network. The monitoring center comprises a wired/wireless communication module, a target analysis module, a relay tracking scheduling module, a relay tracking network generation module, a database server, a display interactive module and the GIS. The intelligent visual sensor network moving target relay tracking system can achieve independent discovery, real-time positioning and relay tracking of movable suspicious targets, integrally display monitoring videos of the targets on an electronic map and achieve multiple functions of emergency linkage, video monitoring, scheduling commanding and the like.

The visual condition of a patient is monitored by defining a an authorized patient zone, placing a video camera in a location to capture a visual image of the patient zone, defining a base visual image of the patient zone, monitoring the visual image at a remote location, identifying any change in the captured image from the base visual image, and generating an alert in the event a change is detected. Certain changes in the zone may occur without generating an alert. Authorized personnel may enter and leave the zone without generating an alert. In a typical application the system for practicing the method is networked based for providing medical appliance data directly to key personnel at a standard computer station. The system also includes video monitoring in real-time or near real-time, providing visual as well as technical monitoring of the patient wherever he is located. In one aspect of the invention, the system is IP based, permitting access to the information anywhere on the World Wide Web.

A method and apparatus are disclosed for automatically learning and identifying events in image data using hierarchical HMMs to define and detect one or more events. The hierarchical HMMs include multiple paths that encompass variations of the same event. Hierarchical HMMs provide a framework for defining events that may be exhibited in various ways. Each event is modeled in the hierarchical HMM with a set of sequential states that describe the paths in a high-dimensional feature space. These models can then be used to analyze video sequences to segment and recognize each individual event to be recognized. The hierarchical HMM is generated during a training phase, by processing a number of images of the event of interest in various ways, typically observed from multiple viewpoints.