Abstract: What is disclosed is a system and method for enhancing a spatio-temporal resolution of a depth data stream. In one embodiment, time-sequential reflectance frames and time-sequential depth frames of a scene are received. If a temporal resolution of the reflectance frames is greater than the depth frames then a new depth frame is generated based on correlations determined between motion patterns in the sequence of reflectance frames and the sequence of depth frames. The new depth frame is inserted into the sequence of depth frames at a selected time point. If a spatial resolution of the reflectance frames is greater than the depth frames then the spatial resolution of a selected depth frame is enhanced by generating new pixel depth values which are added to the selected depth frame. The spatially enhanced depth frame is then inserted back into the sequence of depth frames.

Abstract: When monitoring a workspace to determine whether scheduled tasks or chores are completed according to a predetermined schedule, a video monitoring system monitors a region of interest (ROI) to identify employee-generated signals representing completion of a scheduled task. An employee makes a mark or gesture in the ROI monitored by the video monitoring system and the system analyzes pixels in each captured frame of the ROI to identify an employee signal, map the signal to a corresponding scheduled task, update the task as having been completed upon receipt of the employee signal, and alert a manager of the facility as to whether the task has been completed or not.

Abstract: A method uses a sparse test pattern to identify a spatial relationship between a printhead and an image receiving surface in a printer. The method includes operating a plurality of ejectors in the printhead to form a printed marks on the image receiving surface, generating image data of the test pattern, and applying a predetermined disjoint template to the image data to identify a location of the printed marks. The disjoint template matching process improves the accuracy of identifying the printed marks in noisy image data and for sparse test patterns.

Abstract: This disclosure provides a video-based method and system for busyness detection and notification. Specifically, according to an exemplary embodiment, multiple overhead image capturing devices are used to acquire video including multiple non-overlapping ROIs (regions of interest) and the video is processed to count the number of people included within the ROIs. A busyness metric is calculated based on the number of people counted and notification of the busyness metric or changes in the busyness metric is communicated to appropriate personnel, e.g., a manager of a retail store.

Abstract: A computer vision system (100) operates to monitor an environment (e.g., such as a restaurant, store or other retail establishment) including a resource located therein (e.g., such as a restroom, a dining table, a drink, condiment or supply dispenser, a trash receptacle or a tray collection rack). The system includes: an image source or camera (104) that supplies image data (130) representative of at least a portion of the environment monitored by the system, the portion including the resource therein; and an event detection device (102) including a data processor (112) and operative to detect an event involving the resource. Suitably, the event detection device is arranged to: (i) be selectively configurable by a user to define the event involving the resource; (ii) receive the image data supplied by the image source; (iii) analyze the received image data to detect the defined event; and (iv) output a notification in response to detecting the defined event.

Abstract: A system and method for automatic classification and detection of a payment gesture are disclosed. The method includes obtaining a video stream from a camera placed above at least one region of interest, the region of interest classifying the payment gesture. A background image is generated from the obtained video stream. Motion is estimated in at least two consecutive frames from the video stream. A representation is created from the background image and the estimated motion occurring within the at least one region of interest. The payment gesture is detected based on the representation.

Abstract: A system for delivering one of a good and service to a customer in a retail environment includes a computer located at an order station. The computer is configured to receive an order for the one good and service. The system includes a first image capture device in communication with the computer. The first image capture device captures a first image of a customer ordering the one good and service in response to the order being submitted. The system further includes a wearable computer peripheral device configured to acquire the first image from the first image capture device and electronically display the first image to a user tasked with delivering the one good and service while carrying the second wearable computer peripheral device. In this manner, an identity of the customer can be compared against the first image upon a delivery of the one good and service.

Abstract: What is disclosed is a system and method for enhancing a spatio-temporal resolution of a depth data stream. In one embodiment, time-sequential reflectance frames and time-sequential depth frames of a scene are received. If a temporal resolution of the reflectance frames is greater than the depth frames then a new depth frame is generated based on correlations determined between motion patterns in the sequence of reflectance frames and the sequence of depth frames. The new depth frame is inserted into the sequence of depth frames at a selected time point. If a spatial resolution of the reflectance frames is greater than the depth frames then the spatial resolution of a selected depth frame is enhanced by generating new pixel depth values which are added to the selected depth frame. The spatially enhanced depth frame is then inserted back into the sequence of depth frames.

Abstract: Disclosed are methods and systems to automatically detect and optionally classify when a recipient receives goods in surveillance video. According to one exemplary embodiment, a computer implemented method determines a customer has received goods which are associated with a retail environment.

Abstract: A method for printing on a continuous print medium having a plurality of pages includes identifying a location of a feature in image data that are generated from a portion of a first page in the print medium. The method includes modifying a time of operation of a marking unit to form an image on each page in the plurality of pages at a predetermined distance from the edge of each page with reference to the location of the identified feature in the image data. In one configuration, the method enables precise placement of printed images over preprinted forms.

Abstract: A method for printing on a continuous print medium having a plurality of pages includes identifying a location of a feature in image data that are generated from a portion of a first page in the print medium. The method includes modifying a time of operation of a marking unit to form an image on each page in the plurality of pages at a predetermined distance from the edge of each page with reference to the location of the identified feature in the image data. In one configuration, the method enables precise placement of printed images over preprinted forms.

Abstract: A method analyzes image data of a test pattern printed on an image receiving member by a printer. The method includes identifying a process direction position for each row of dashes in a test pattern printed on an image receiving member, identifying a center of each dash in a cross-process direction, identifying an inkjet ejector that formed each dash in the row of dashes. These data are used to identify a process direction position for each printhead, a cross-process displacement for each column of printheads, and a stitch displacement in the cross-process direction between neighboring printheads in a print bar unit that print a same color of ink. An actuator can be operated with reference to the identified process direction positions, cross-process displacements, and the identified stitch displacements to move at least some of the printheads in the printer.

Abstract: This disclosure provides a method and system for automatically recognizing facial expressions at variable resolutions of video. According to one exemplary method, facial expressions are detected, extracted and classified from a video sequence based on an automatic localization of the periocular region associated with a detected and extracted face.

Abstract: A system and method to identify the leader of a group in a retail, restaurant, or queue-type setting (or virtually any setting) through recognition of payment gestures. The method comprises acquiring initial video of a group, developing feature models for members of the group, acquiring video at a payment location, identifying a payment gesture in the acquired video, defining the person making the gesture as the leader of the group, and forwarding/backtracking through the video to identify timings associated with leader events (e.g., entering, exiting, ordering, etc.).

Abstract: A system and method for automatic classification and detection of a payment gesture are disclosed. The method includes obtaining a video stream from a camera placed above at least one region of interest, the region of interest classifying the payment gesture. A background image is generated from the obtained video stream. Motion is estimated in at least two consecutive frames from the video stream. A representation is created from the background image and the estimated motion occurring within the at least one region of interest. The payment gesture is detected based on the representation.

Abstract: A method analyzes image data of a test pattern printed on an image receiving member by a printer. The method includes identifying a process direction position for each row of dashes in a test pattern printed on an image receiving member, identifying a center of each dash in a cross-process direction, identifying an inkjet ejector that formed each dash in the row of dashes. These data are used to identify a process direction position for each printhead, a cross-process displacement for each column of printheads, and a stitch displacement in the cross-process direction between neighboring printheads in a print bar unit that print a same color of ink. An actuator can be operated with reference to the identified process direction positions, cross-process displacements, and the identified stitch displacements to move at least some of the printheads in the printer.

Abstract: A test pattern printed by printheads in an inkjet printer enables image analysis of the test pattern that identifies positions of the printheads and the inkjets operating in the printheads. The test pattern includes a plurality of arrangements of dashes, each arrangement of dashes having a predetermined number of rows and a predetermined number of columns, each dash in a row of dashes in the arrangement of dashes being separated by a first predetermined distance and each dash in a column of dashes in the arrangement of dashes being separated by a second predetermined distance, each dash in a column of an arrangement of dashes being ejected by a single inkjet ejector in a printhead of the inkjet printer, and a plurality of unprinted areas interspersed between the plurality of arrangements of dashes.

Abstract: A method generates a test pattern on an image receiving member that is less perceptible to human observation, but still detectable by an imaging device within a printer. A method implemented in the printer analyzes image data of the dashes in the test pattern that were randomly distributed in the process direction within an area of the image receiving member to identify positions for printheads in the printer and detect missing inkjets in the printheads.

Abstract: A method enables an operator to detect misalignment of printheads that eject clear ink in an inkjet printer. The method prints a first test pattern with a first color of ink and then prints a second test pattern of clear ink on top of the first test pattern. The ink of the first and the second test patterns is then spread to enable the clear ink to be dispersed in interstitial spaces in the ink of the first color. An operator is then able to detect the spatial relationship of predetermined marks in the second test pattern to predetermined marks in the first test pattern. The predetermined marks of the first and the second test patterns are arranged to enable an operator to detect a misalignment distance and the inkjet printer uses the misalignment distance entered by the operator to adjust the alignment of the printheads that eject clear ink.

Abstract: A method enables an operator to detect misalignment of printheads that eject clear ink in an inkjet printer. The method prints a first test pattern with a first color of ink and then prints a second test pattern of clear ink on top of the first test pattern. The ink of the first and the second test patterns is then spread to enable the clear ink to be dispersed in interstitial spaces in the ink of the first color. An operator is then able to detect the spatial relationship of predetermined marks in the second test pattern to predetermined marks in the first test pattern. The predetermined marks of the first and the second test patterns are arranged to enable an operator to detect a misalignment distance and the inkjet printer uses the misalignment distance entered by the operator to adjust the alignment of the printheads that eject clear ink.