Koninklijke Philips Corporation N.v.

Honeywell International Inc.

Pace Micro Technology Plc

Activeye, Inc.

Mi-Suen Lee

Tomas Brodsky

Yun-Ting Lin

Miroslav Trajkovic

Hugo Strubbe

Srinivas Gutta

Carolyn Christine Ramsey

Eric Cohen-Solal

Vasanth Philomin

Daphna Weinshall

Bartel Marinus Van De Sluis

Peter J Janssen

Lalitha Agnihotri

Mark Henricus Verberkt

Antonio Colmenarez

Gerard Medioni

Michael D Pashley

Antonio J Colmenarez

Daniel Pelletier

Serhan Dagtas

Elmo M A Diederiks

Ian McClelland

Mircea Nicolescu

The filtering tasks that are conventionally applied in a video monitoring application, to distinguish images that may be relevant to the application, are distributed to the image source, or near-source devices. Source devices, such as cameras and playback devices, and near-source devices, such as video concentrators and streaming devices, are configured to include video processing tools that can be used to pre-filter the image data to identify frames or segments of frames that include image information that is likely to be relevant to the receiving video monitoring application. In this manner, the receiving processor need not spend time and resources processing images that are pre-determined to be irrelevant to the receiving application.

Relevant image detection in a camera, recorder, or video streaming device

A system and method of detecting tampering at an automatic teller machine includes detecting start and end indicators of a transaction. A representation of a scene at the teller machine, prior to the start of the transaction can be compared to a representation of the scene after the end of the transaction. Variations therebetween can indicate tampering at the machine.

System and method to detect tampering at ATM machines

A method and apparatus are disclosed for updating a user profile in a recommendation system for a given user based on auditory or gestural feedback information provided by the user. The auditory or gestural feedback is detected using audio or video processing techniques, or both, and includes, for example, auditory or gestural commands or facial expressions indicating the strength of the user's preferences. The auditory or gestural feedback can be explicit or implicit. Once predefined behavioral feedback is identified, the present invention updates the corresponding user profile, in an appropriate manner.

Method and apparatus for obtaining auditory and gestural feedback in a recommendation system

A video interface kernel with a defined application program interface includes each of a plurality of core functions for interfacing with video equipment and video processing subsystems. The core functions include such functions as video capture and video output, video recording and playback, and event notification. Functions of the video interface kernel also include video analysis functions and/or interfaces to analysis subsystems, as well as interfaces to point-of-sale terminals, access control systems, and location tracking systems. An intelligent video management module facilitates managing the interactions among the other modules of the kernel, further simplifying the application level interface.

Video system interface kernel

A stereo camera system including: a stereo imaging system such as two or more cameras or a camera and a set of angled mirrors, for outputting at least one stereo image; a recognition system for locating an object of interest in the field of view of the stereo imaging system and at least one of a distance of the object of interest from the stereo imaging system and the size of the object of interest; and an adjustor for automatically changing at least one system parameter which affects the spatial resolution of the object of interest based on at least one of the located distance of the object of interest from the stereo imaging system and the size of the object of interest.

Self adjusting stereo camera system

To calibrate images from an overhead camera, two equal-length reference lines at different heights relative to the floor plane are imaged. By comparing the resultant image-width of each of these lines in the view provided by the camera, the effective focal point of the camera is determined. In a preferred embodiment, a doorframe is used to provide equal-length lines at different heights parallel to the floor. The threshold of the doorway at the floor plane is used as a reference plane, and a parallel calibration line at a known/measured height in the doorway is defined. The image produced by a vertically oriented camera of these two equal length lines will show a longer line at the elevated position, the different widths of the images of these lines being dependent upon the camera's effective focal point. From these two projections of the equal-length lines at different heights, the camera's focal point distance from the reference floor plane is determined.

Size calibration and mapping in overhead camera view

An image processing system () and method () are disclosed for correcting a head pose in a video phone image, so that a frontal view is presented on a display. A disclosed head pose corrector () estimates the orientation of a head pose and adjusts the orientation of the head pose, if necessary, to present a frontal view. The orientation of the head pose is adjusted by generating a three dimensional model of the face surface and adjusting the orientation of the three dimensional face model to provide the desired frontal view. The head pose corrector () may be included in a video phone () to correct the head pose of transmitted or received images (or both) or may be included in a server on a network to automatically adjust the head shots of one or more participants to a video phone communication.

Method and apparatus for correcting a head pose in a video phone image

A surveillance system allows a user to characterize the user's environment and/or the user s surveillance application, via a selection from among a variety of predefined environments and/or applications. Preferably, the selection is from among a variety of scene configurations, such as the expected number and type of targets in a typical scene, the lighting conditions of the scene, and so on. The selected environments and/or applications effect a determination of the parameters that are used in the various algorithms and processing modules within the surveillance system. Because the selection is preferably from a variety of common scene configurations, no technical skills are required to effect an optimization of the performance of the surveillance system for a particular environment.

User assisted customization of automated video surveillance systems

A video processing and analysis system is coupled to a building management and control system. The video processing system provides traffic, occupancy, and other information derived from video images of sections of the building and its environs to the building management and control systems. The building systems use this information in a variety of business management applications, including maintenance scheduling, asset replacement, elevator dispatching, HVAC and lighting control, and so on, to reduce operational or maintenance costs, expedite emergency procedures, improve service levels of building facilities, and regulate the building's environmental conditions.

Intelligent video for building management and automation

A surveillance system allows a user to characterize the user's environment and/or the user's surveillance application, via a selection from among a variety of predefined environments and/or applications. Preferably, the selection is from among a variety of scene configurations, such as the expected number and type of targets in a typical scene, the lighting conditions of the scene, and so on. The selected environments and/or applications effect a determination of the parameters that are used in the various algorithms and processing modules within the surveillance system. Because the selection is preferably from a variety of common scene configurations, no technical skills are required to effect an optimization of the performance of the surveillance system for a particular environment.

A recommendation system is disclosed that generates recommendations for one or more items based on user preferences and one or more environmental factors. The user's preferences are learned under various environmental conditions using an environmental data collection system. The observed environmental conditions may include, for example, location, characteristics of the location, weather or characteristics of the user's motion, such as a rate of movement. For each positive and negative behavioral example, a number of attributes of the selected item are classified in the user profile together with the prevailing environmental conditions. When recommending an item, the disclosed recommender retrieves the user preferences and evaluates the current environmental conditions. A recommendation score can be generated for each available item based on the user's demonstrated preferences under similar environmental conditions, such as in the same or a similar geographic area or under similar weather conditions.

Method and apparatus for generating recommendations based on user preferences and environmental characteristics

A system and apparatus are disclosed for modeling patterns of behavior of humans or other animate objects and detecting a violation of a repetitive pattern of behavior. The behavior of one or more persons is observed over time and features of the behavior are recorded in a multi-dimensional space. Over time, the multi-dimensional data provides an indication of patterns of human behavior. Activities that are repetitive in terms of time, location and activity, such as sleeping and eating, would appear as a Gaussian distribution or cluster in the multi-dimensional data. Probability distribution functions can be analyzed using known Gaussian or clustering techniques to identify repetitive patterns of behavior and characteristics thereof, such as a mean and variance. Deviations from repetitive patterns of behavior can be detected and an alarm can be triggered, if appropriate.

Method and apparatus for detecting an event based on patterns of behavior

A system and method for automatically controlling systems and devices in a local environment, such as a home. The system comprises a control unit that receives images associated with one or more regions of the local environment. The one or more regions are each serviced by one or more servicing components. The control unit processes the images to identify, from a group of known persons associated with the local environment, any one or more known persons located in the regions. For the regions in which one or more known person is identified, the control unit automatically generates a control signal for at least one of the servicing components associated with the region, the control signal reflecting a preference of at least one of the known persons located in the respective region.

System and method for adapting the ambience of a local environment according to the location and personal preferences of people in the local environment

System and method for automatically programming a universal remote. In the system, the remote acquires identification data from a particular device at which it is pointed. The data is processed to determine command protocols associated with the particular device. Control commands for the particular device input to the remote by a user are formatted according to the command protocols associated with the particular device.

Growing community of inventors

Ossining, NY, United States of America

Mi-Suen Lee