A method in a mobile computing device includes: controlling a camera to capture an image; tracking, in association with the image, a pose of the mobile computing device in a coordinate system; detecting a region of interest (ROI) depicting an item in the image; determining a location of the ROI in the coordinate system, based on the tracked pose; obtaining an item identifier corresponding to the ROI by (i) when a previously recognized item identifier is not available, executing a recognition mechanism to derive the item identifier from the ROI, and (ii) when a previously recognized item identifier is available, bypassing the recognition mechanism and retrieving the previously recognized item identifier; and returning the obtained item identifier corresponding to the ROI.

The present application is applicable to the field of video processing. Provided are a target tracking method for a panoramic video, a readable storage medium, and a computer device. The method comprises: using a tracker to track and detect a target to be tracked to obtain a predicted tracking position of said target in the next panoramic video frame, calculating the reliability of the predicted tracking position, and using an occlusion detector to calculate an occlusion score of the predicted tracking position; determining whether the reliability of the predicated tracking position is greater than a preset reliability threshold value, and determining whether the occlusion score of the predicted tracking position is greater than a preset occlusion score threshold value; and using a corresponding tracking strategy according to the reliability and the occlusion score. By means of the present application, whether a tracking failure is caused by the loss of a target or occlusion can be determined, such that a corresponding tracking recovery strategy can be used, and tracking can be automatically recovered when tracking fails, thereby achieving the effect of performing tracking continuously for a long time. In addition, the method of the present invention has a low operation complexity and a good real-time performance.

Control system and method for managing transport of vehicles in a warehouse. A network of cameras provide coverage over the route way network by capturing images and sending image data to a central control unit which processes the images and generates signals to control the movement of robot slaves. The control system also includes a calibration mechanism to calibrate a map of the network of routes and an obstruction matrix function. The robot slaves include a safety override mechanism to control the robot slaves autonomously and independently in case of detecting an obstacle or an unexpected hazard in a path of its movement along a route of the warehouse network.

Embodiments of the present invention disclose a binocular image matching method, apparatus, device, and storage medium. The method comprises: performing target detection on a first image to obtain a first bounding box of a target in the first image; determining a second bounding box corresponding to the first bounding box in a second image; and obtaining a third bounding box of the target in the second image by regressing the second bounding box. The technical solutions realize accurate matching of targets in a binocular image without requiring performing target detection on both images in the binocular image, and then use a matching algorithm to match the targets detected in the two images, thereby greatly reducing the calculation overhead of target matching in the binocular image.

Techniques are described for capturing data from a digital document through the use of targeted user feedback regarding the position(s) of particular data field(s) in the document. Implementations enhance the speed and accuracy of data capture from documents and/or images of documents by providing a helpful and intuitive set of controls to enable the end user to indicate the position(s) of field(s) on a document. Through specification of the position of the field in the document, implementations may isolate the portion of the document where data extraction is to be performed to determine the associated value of the field. Any suitable number of field values may be extracted from the document in this manner, based on positions indicated by the user using the provided control(s). In some implementations, one or more actions may be automatically performed based on the extracted data, such as automated bill payment actions.

A computer-implemented method is for identifying the presence of an image trigger in a digitally captured scene. The method includes, at a component installed on a client device and upon commencement of an image trigger matching operation: a) obtaining, from a multiplicity of image triggers, a subset of image triggers; b) subdividing the subset of image triggers into a plurality of image trigger sub-subsets; and c) for each sub-subset of image triggers in turn, and at predefined time intervals, submitting the sub-subset of image triggers to an Augmented Reality (AR) core Application Programming Interface (API), to cause the client device to cache the received sub-subsets of image triggers, search the digitally captured scene for the presence of one or more of the cached image triggers, and identify a positive match of an image trigger to said component using said AR core API.

An abnormality detection unit detects an abnormal object in target images repeatedly acquired. An abnormality type selection unit selects, for each of the target images, an abnormality type of the abnormal object from a plurality of specific abnormality types based on values of at least two basic feature amounts. A feature amount monitoring unit monitors the values of the basic feature amounts and a value of an auxiliary feature amount corresponding to the abnormality type currently selected by the abnormality type selection unit. An adjustment processing unit executes an adjustment process corresponding to the auxiliary feature amount being monitored by the feature amount monitoring unit. The abnormality type selection unit changes the abnormality type to be selected, in accordance with the change in the values of the basic feature amounts mentioned above.

A method of image analysis is provided for recognition of a pattern in an image. The method includes receiving a plurality of images acquired by a camera, where the plurality of images include a plurality of optical patterns in an arrangement. The method also includes matching the arrangement to a pattern template, wherein the pattern template is a predefined arrangement of optical patterns. The method also includes identifying an optical pattern of the plurality of optical patterns as a selected optical pattern based on a position of the selected optical pattern in the arrangement. The method also includes decoding the selected optical pattern to generate an object identifier and storing the object identifier in a memory device.

In some implementations, a system may receive, from a camera, an image that depicts an object on a conveyor. The system may cause, based on an image processing model indicating that the image depicts the object, a robotic arm to attach to a label printer. The system may determine, using the image processing model, an object position of the object on the conveyor. The system may cause the robotic arm to move the label printer into an application position that corresponds to the object position on the conveyor. The system may cause the label printer to print a label. The system may cause the label printer to apply the label to the object.

A sales data processing system includes a first reader that reads a code symbol as a visible image included in image information output by an imaging unit, a second reader that reads a code symbol as an invisible image in the image information, and a third reader that recognizes a service image in the image information. The system includes a registrar that registers information as sales data on a commodity identified by the code symbol read by the first or second reader, and a standby processor that suspends reading by the second reader and waits for recognition of a service image by the third reader in response to a commodity being identified by the code symbol read by the second reader. The system includes a service processor that reflects a service in the sales data registered by the registrar in response to the third reader recognizing the service image.