Abstract: A connection joint brazed to a heat exchanger may employ a first block and a second block. The first block may have two fluid passages that align with two fluid passages of the second block. A first male insert may reside within a first fluid passage of each of the first block and the second block and a second male insert may reside within a second fluid passage of each block. Each of the male inserts may employ a first seal and a second seal with a raised boss region midway between the seals. The raised boss portion lies at the mated flats of the juncture of the first and second blocks, which are chamfered to permit part of the boss to locate in each of the chamfers. The seals may be o-rings, or they may be molded onto an insert base using an over molding or double shot manufacturing process.

Abstract: The present invention is a method and system to provide a face-based automatic gender recognition system that utilizes localized facial features and hairstyles of humans. Given a human face detected from a face detector, it is accurately localized to facilitate the facial/hair feature detection and localization. Facial features are more finely localized using the geometrically distributed learning machines. Then the position, size, and appearance information of the facial features are extracted. The facial feature localization essentially decouples geometric and appearance information about facial features, so that a more explicit comparison can be made at the recognition stage. The hairstyle features that possess useful gender information are also extracted based on the hair region segmented, using the color discriminant analysis and the estimated geometry of the face.

Abstract: The present invention is a method and system for automatically analyzing the behavior of a person and a plurality of persons in a physical space based on measurement of the trip of the person and the plurality of persons on input images. The present invention captures a plurality of input images of the person by a plurality of means for capturing images, such as cameras. The plurality of input images is processed in order to track the person in each field of view of the plurality of means for capturing images. The present invention measures the information for the trip of the person in the physical space based on the processed results from the plurality of tracks and analyzes the behavior of the person based on the trip information. The trip information can comprise coordinates of the person's position and temporal attributes, such as trip time and trip length, for the plurality of tracks. The physical space may be a retail space, and the person may be a customer in the retail space.

Abstract: The present invention is a system and framework for augmenting any retail transaction system with information about the involved customers. This invention provides a method to combine the transaction data records and a customer or a group of customers with the automatically extracted demographic features (e.g., gender, age, and ethnicity), shopping group information, and behavioral information using computer vision algorithms. First, the system detects faces from face view, tracks them individually, and estimates poses of each of the tracked faces to normalize. These facial images are processed by the demographics classification module to determine and record the demographics feature vector. The system detects and tracks customers to analyze the dynamic behavior of the tracked customers so that their shopping group membership and checkout behavior can be recognized. Then the instances of faces and the instances of bodies can be matched and combined.

Abstract: The present invention is a method and system for characterizing physical space based on automatic demographics measurement, using a plurality of means for capturing images and a plurality of computer vision technologies. The present invention is called demographic-based retail space characterization (DBR). Although the disclosed method is described in the context of retail space, the present invention can be applied to any physical space that has a restricted boundary. In the present invention, the physical space characterization can comprise various types of characterization depending on the objective of the physical space, and it is one of the objectives of the present invention to provide the automatic demographic composition measurement to facilitate the physical space characterization.

Abstract: The present invention is a method and system for forecasting the behavioral characterization of customers to help customize programming contents on each means for playing output of each site of a plurality of sites in a media network through automatically measuring, characterizing, and forecasting the behavioral information of customers that appear in the vicinity of each means for playing output. The analysis of behavioral information of customers is performed automatically based on the visual information of the customers, using a plurality of means for capturing images and a plurality of computer vision technologies on the visual information. The measurement of the behavioral information is performed in each measured node, where the node is defined as means for playing output. Extrapolation of the measurement characterizes the behavioral information per each node of a plurality of nodes in a site of a plurality of sites of a media network.

Abstract: The present invention is a method and system for recognizing employees among the people in a physical space based on automatic behavior analysis of the people in a preferred embodiment. The present invention captures a plurality of input images of the people in the physical space by a plurality of means for capturing images. The present invention processes the plurality of input images in order to understand the behavioral characteristics of the people for the employee recognition purpose. The behavior analysis can comprise a path analysis as one of the characterization methods. The path analysis collects a plurality of trip information for each tracked person during a predefined window of time. The trip information can comprise spatial and temporal attributes, such as coordinates of the person's position, trip time, trip length, and average velocity for each of the plurality of trips.

Abstract: The present invention is a method and system for automatically changing the advertisement contents on a means for displaying the contents based on a customer's behavior or a group of customers' behavior in a retail store. The analysis of behavioral pattern is performed automatically and in real-time based on the visual information from the shopping and walkthrough history of a customer or a group of customers, using arrays of sensing devices, such as a plurality of means for capturing images, and a plurality of computer vision technologies on the visual information.

Abstract: A connection block employs a support block with two parallel through holes that pass through parallel first and second flat block surfaces. First and second insert pipes have elongate portions and flanges. The elongate portions press-fit into the connection block and the flanges, not at pipe ends, abut against the first flat surface of the connection block when the pipes are installed. Upon installation, the ends the elongate portions of the pipes are formed into a flange by flattening the end against the second connection block surface. The junctures of the elongate portions and the first flanges form a flange radius that contacts a radius of the support block when the pipes are installed into the block. The elongate portions residing within the first and second through holes make a full contact fit against the inside diameters of the through holes. The flanges are perpendicular to the elongate portions.

Abstract: The present invention is a method and system for selectively executing content on a display based on the automatic recognition of predefined characteristics, including visually perceptible attributes, such as the demographic profile of people identified automatically using a sequence of image frames from a video stream. The present invention detects the images of the individual or the people from captured images. The present invention automatically extracts visually perceptible attributes, including demographic information, local behavior analysis, and emotional status, of the individual or the people from the images in real time. The visually perceptible attributes further comprise height, skin color, hair color, the number of people in the scene, time spent by the people, and whether a person looked at the display. A targeted media is selected from a set of media pools, according to the automatically-extracted, visually perceptible attributes and the feedback from the people.

Abstract: The invention is a method and apparatus for quickly marking object trajectories in an image sequence. The traditional method of manually tracking an object is by marking the location of the object in each image in the image sequence. In the present invention, the object is first tracked in one direction by one quick stroke of a spatial input device across the subsampled image sequence that is laid out in that direction. The object is then tracked in an orthogonal direction by another quick stroke of the spatial input device across the same subsampled image sequence that is laid out in the orthogonal direction. The intersections of the two tracks will then form the points of the 2-D neo-trajectory, which is then interpolated onto the image sequence. The invention is useful not only for quick manual annotation of tracks, but also for performance evaluation and optimization of automatic tracking algorithms.

Abstract: The present invention is a system and method for performing age classification or age estimation based on the facial images of people, using multi-category decomposition architecture of classifiers. In the multi-category decomposition architecture, which is a hybrid multi-classifier architecture specialized to age classification, the task of learning the concept of age against significant within-class variations, is handled by decomposing the set of facial images into auxiliary demographics classes, and the age classification is performed by an array of classifiers where each classifier, called an auxiliary class machine, is specialized to the given auxiliary class. The facial image data is annotated to assign the gender and ethnicity labels as well as the age labels. Each auxiliary class machine is trained to output both the given auxiliary class membership likelihood and the age group likelihoods. Faces are detected from the input image and individually tracked.

Abstract: The present invention is a method and system for handling a plurality of information units in an information processing system, such as a multimodal human computer interaction (HCI) system, through verification process for the plurality of information units. The present invention converts each information unit in the plurality of information units into verified object by augmenting the first meaning in the information unit with a second meaning and expresses the verified objects by object representation for each verified object. The present invention utilizes a processing structure, called polymorphic operator, which is capable of applying a plurality of relationships among the verified objects based on a set of predefined rules in a particular application domain for governing the operation among the verified objects. The present invention is named Object Verification Enabled Network (OVEN).

Abstract: The present invention is a method and system for detecting scene events in an imaged sequence by analysis of occlusion of user-defined regions of interest in the image. The present invention is based on the multi-scale groups of nearby pixel locations employing contrast functions, a feature that is invariant to changing illumination conditions. The feature allows the classification of each pixel location in the region of interest as occluded or not. Scene events, based on the occlusion of the regions of interest, are defined and subsequently detected in an image sequence. Example applications of this invention are automated surveillance of persons for security, and automated person counting, tracking and aisle-touch detection for market research.

Abstract: The invention provides a face-based automatic demographics classification system that is robust to pose changes of the target faces and to accidental scene variables, by using a pose-independent facial image representation which comprises multiple pose-dependent facial appearance models. Given a sequence of people's faces in a scene, the two-dimensional variations are estimated and corrected using a novel machine learning based method. We estimate the three-dimensional pose of the people, using a machine learning based approach. The face tracking module keeps the identity of the person using geometric and appearance cues, where multiple appearance models are built based on the poses of the faces. Each separately built pose-dependent facial appearance model is fed to the demographics classifier, which is trained using only the faces having the corresponding pose.

Abstract: The present invention is a system and method for immersing facial images of people captured automatically from an image or a sequence of images into a live video playback sequence. This method allows viewers to perceive a participation in the viewed “movie” segment. A format is defined for storing the video such that this live playback of the video sequence is possible. A plurality of Computer Vision algorithms in the invention processes a plurality of input image sequences from the means for capturing images, which is pointed at the users in the vicinity of the system and performs the head detection and tracking. The interaction in the invention can be performed either in real-time or off-line depending on the embodiment of the invention in an uncontrolled background.

Abstract: An apparatus for a heating, ventilating and air conditioning (HVAC) system may employ a blower case that houses a fan and a motor to drive the fan, an air intake case that houses an air filter, a grill that contacts and supports the filter, a fresh air intake and a recirculation air intake. The grill may be located directly over the fan to protect the fan and motor from debris. The air intake case may employ a fresh air inlet and a recirculation air inlet such that air entering either may have an airflow path through the HVAC system in the order of: the fresh air intake, the filter, the grill, the fan, and the blower case. An intermediate grill panel and the grill may be integrally molded together as one single piece to improve NVH, reduce overall part count and save manufacturing time.

Abstract: A vehicle heating system employs a vehicle rearview mirror outer case that defines a cavity within which a mirror resides. A vehicle rearview mirror inner case may define a cavity and the rearview mirror inner case may reside within the rearview mirror outer case. A mirror surface or mirror structure, such as glass or plastic, may reside against the rearview mirror inner case to enclose the inner case, with the exception of air inlet and outlet tubes. A rearview mirror inlet tube may pass through the outer case and the inner case and permit air to enter the rearview mirror inner case. A rearview mirror outlet tube that passes through the outer case and the inner case may permit air to exit the rearview mirror inner case. An HVAC unit attaches to the rearview mirror inlet tube to blow air into the rearview mirror outer case or inner case.

Abstract: A vehicle heating system employs a vehicle rearview mirror outer case that defines a cavity within which a mirror resides. A vehicle rearview mirror inner case may define a cavity and the rearview mirror inner case may reside within the rearview mirror outer case. A mirror surface or mirror structure, such as glass or plastic, may reside against the rearview mirror inner case to enclose the inner case, with the exception of air inlet and outlet tubes. A rearview mirror inlet tube may pass through the outer case and the inner case and permit air to enter the rearview mirror inner case. A rearview mirror outlet tube that passes through the outer case and the inner case may permit air to exit the rearview mirror inner case. An HVAC unit attaches to the rearview mirror inlet tube to blow air into the rearview mirror outer case or inner case.

Abstract: The present invention is a system and method for detecting facial features of humans in a continuous video and super-imposing virtual objects onto the features automatically and dynamically in real-time. The suggested system is named Facial Enhancement Technology (FET). The FET system consists of three major modules, initialization module, facial feature detection module, and superimposition module. Each module requires demanding processing time and resources by nature, but the FET system integrates these modules in such a way that real time processing is possible. The users can interact with the system and select the objects on the screen. The superimposed image moves along with the user's random motion dynamically. The FET system enables the user to experience something that was not possible before by augmenting the person's facial images. The hardware of the FET system comprises the continuous image-capturing device, image processing and controlling system, and output display system.