Abstract: Systems and methods for finding the position and shape of an animal using video are disclosed. The invention includes a system with a video camera coupled to a computer in which the computer is configured to automatically provide animal segmentation and identification, animal motion tracking (for moving animals), animal posture classification, and behavior identification. In a preferred embodiment, the present invention may use background subtraction for animal identification and tracking, and a combination of decision tree classification and rule-based classification for posture and behavior identification. Thus, the present invention is capable of automatically monitoring a video image to identify, track and classify the actions of various animals and the animal's movements within the image. The image may be provided in real time or from storage.

Abstract: A foam comprising the reaction product of one or more multifunctional acrylates with one or more multifunctional aceto- or cyano-acetate compounds in the presence of a base and a blowing agent.

Abstract: The present invention provides a system and a method for analyzing activity of people in a of people in a space. Continuous raw video imagery is received from one or more sensors placed in a pre-defined regions of the space. This imagery is analyzed to determine basic characteristics of the behavior and/or activity of people hi its field-of-view, such as position, movement, etc. Useful data and metrics can he computed, based on the results of imagery analysis. The data analysis results can be provided as a response to user's request or as a running report. Data analysis can optionally combine imagery analysis results with secondary information.

Abstract: A method and system for updating, monitoring, and managing signage and its related content. A central user may submit content or artwork for display at one or more destination remote sites. The method and system properly format the content of the sign and adapt the content based on the specifications of the destination display. The method and system facilitates the customization of the content to fit the electronic or hard-copy displays located at one or more remote sites.

Abstract: The present invention describes a method and system for the real-time processing of video from multiple cameras using distributed computers using a peer-to-peer network, thus eliminating the need to send all video data to a centralized server for processing. The method and system use a distributed control algorithm to assign video processing tasks to a plurality of processors in the system. The present invention also describes automated techniques to calibrate the required parameters of the cameras in both time and space.

Abstract: In general, the present invention is directed to systems and methods for finding the position and shape of an object using video. The invention includes a system with a video camera coupled to a computer in which the computer is configured to automatically provide object segmentation and identification, object motion tracking (for moving objects), object position classification, and behavior identification. In a preferred embodiment, the present invention may use background subtraction for object identification and tracking, probabilistic approach with expectation-maximization for tracking the motion detection and object classification, and decision tree classification for behavior identification. Thus, the present invention is capable of automatically monitoring a video image to identify, track and classify the actions of various objects and the object's movements within the image. The image may be provided in real time or from storage.

Abstract: In general, the present invention is directed to systems and methods for finding the position and shape of an object using video. The invention includes a system with a video camera coupled to a computer in which the computer is configured to automatically provide object segmentation and identification, object motion tracking (for moving objects), object position classification, and behavior identification. In a preferred embodiment, the present invention may use background subtraction for object identification and tracking, probabilistic approach with expectation-maximization for tracking the motion detection and object classification, and decision tree classification for behavior identification. Thus, the present invention is capable of automatically monitoring a video image to identify, track and classify the actions of various objects and the object's movements within the image. The image may be provided in real time or from storage.

Abstract: A code compression method and apparatus for system-level power optimization that lessens the requirements imposed on main memory size. The apparatus utilizes a post-cache architecture that has a decompression engine that decompresses compressed object code instructions using dictionary look-up tables, branching instruction controllers and mathematical derivations based on bit toggling. The decompression engine extracts the compressed instructions from memory or the instruction/data cache using a bus compression technique to save power as the compressed instructions/data traverses the bus.

Abstract: A code compression method for system-level power optimization that lessens the requirements imposed on main memory size. The method reduces the power consumption of a complete system comprising a CPU, instruction cache, data cache, main memory, data buses and address bus. The method includes extracting compressible instruction and data portions from executable code, creating a mathematical model of the extracted code portions, class the individual instructions in the extracted portions based upon their operation codes and compressing the instructions. The compressed instructions are further compressed when extracted from memory by using bus compaction. The method is also embodied in a computer system with a processor and a memory adapted to perform the steps of the method to compress the extracted instruction portions. Additionally, the method is embodied on a computer program product bearing software instructions adapted to perform the steps of the method to compress the extracted instruction portions.

Abstract: In general, the present invention is directed to systems and methods for finding the position and shape of an object using video. The invention includes a system with a video camera coupled to a computer in which the computer is configured to automatically provide object segmentation and identification, object motion tracking (for moving objects), object position classification, and behavior identification. In a preferred embodiment, the present invention may use background subtraction for object identification and tracking, probabilistic approach with expectation-maximization for tracking the motion detection and object classification, and decision tree classification for behavior identification. Thus, the present invention is capable of automatically monitoring a video image to identify, track and classify the actions of various objects and the object's movements within the image. The image may be provided in real time or from storage.

Abstract: A code compression method for system-level power optimization that lessens the requirements imposed on main memory size. The method reduces the power consumption of a complete system comprising a CPU, instruction cache, data cache, main memory, data buses and address bus. The method includes extracting compressible instruction and data portions from executable code, creating a mathematical model of the extracted code portions, class the individual instructions in the extracted portions based upon their operation codes and compressing the instructions. The compressed instructions are further compressed when extracted from memory by using bus compaction. The method is also embodied in a computer system with a processor and a memory adapted to perform the steps of the method to compress the extracted instruction portions. Additionally, the method is embodied on a computer program product bearing software instructions adapted to perform the steps of the method to compress the extracted instruction portions.

Abstract: A new technique for extracting a hierarchical decomposition of a complex video selection for browsing purposes, combines visual and temporal information to capture the important relations within a scene and between scenes in a video, thus allowing the analysis of the underlying story structure with no a priori knowledge of the content. A general model of hierarchical scene transition graph is applied to an implementation for browsing. Video shots are first identified and a collection of key frames is used to represent each video segment. These collections are then classified according to gross visual information. A platform is built on which the video is presented as directed graphs to the user, with each category of video shots represented by a node and each edge denoting a temporal relationship between categories. The analysis and processing of video is carried out directly on the compressed videos.

Abstract: A new technique for extracting a hierarchical decomposition of a complex video selection for browsing purposes, combines visual and temporal information to capture the important relations within a scene and between scenes in a video, thus allowing the analysis of the underlying story structure with no a priori knowledge of the content. A general model of hierarchical scene transition graph is applied to an implementation for browsing. Video shots are first identified and a collection of key frames is used to represent each video segment. These collections are then classified according to gross visual information. A platform is built on which the video is presented as directed graphs to the user, with each category of video shots represented by a node and each edge denoting a temporal relationship between categories. The analysis and processing of video is carried out directly on the compressed videos.