Abstract: Disclosed are front entry cabs, and power machines with front entry cabs, having a door that is moveable between opened and closed positions and a display oriented in the cab to provide information to the operator both while the door is in the opened and closed positions. In the opened position, the door is positioned within an operator compartment of the cab above the operator seat and below a top of the cab. The display is positioned to not interfere with the door, door linkages, or operator joystick control.

Abstract: A method for updating road signs and markings on the basis of monocular images comprises the following steps: acquiring street images of urban roads and GPS phase center coordinates and spatial attitude data corresponding to the street images; extracting coordinates of the road sign marking images; constructing a sparse three-dimensional model, and then generating a streetscape image depth map; calculating the space position of the road sign and marking according to the semantic and depth values of the image, the collinear equation and the space distance relation; if the same road sign and marking is visible in multiple views, solving the position information of the road sign; and vectorizing the obtained road sign position information, and fusing the information into the original data to realize the updating of the road sign data.

Abstract: A system and method for human motion detection and tracking are disclosed. In one embodiment, an optical sensing instrument monitors a stage. A memory is accessible to a processor and communicatively coupled to the optical sensing instrument. The system captures a depth frame from the optical sensing instrument. The depth frame may include at each image element first coordinate values including a point related to a distance from the optical sensing instrument. The depth frame is converted into a designated depth frame format, which includes at each image element second coordinate values relative to the depth frame. Probability distribution models are applied to the designated depth frame format to identify a respective plurality of body parts. The position of each of the respective plurality of body parts in the designated depth frame is calculated as is the position of each of the plurality of body parts in the depth frame.

Abstract: A computer system can automatically analyze a video of a physical activity and provide corresponding feedback. For example, the system can receive a video file including image frames showing an entity performing a physical activity that involves a sequence of movement phases. The system can generate coordinate sets by performing image analysis on the image frames. The system can provide the coordinate sets as input to a trained model, the trained model being configured to assign scores and movement phases to the image frames based on the coordinate sets. The system can then select a particular movement phase for which to provide feedback, based on the scores and movement phases assigned to the image frames. The system can generate the feedback for the entity about their performance of the particular movement phase, which may improve the entity's future performance of that particular movement phase.

Abstract: An image data of pictures constituting moving image data is encoded to generate an encoded video stream. In this case, the image data of the pictures constituting the moving image data is classified into a plurality of levels and encoded to generate a video stream having the image data of the pictures at the respective levels. Hierarchical composition is equalized between a low-level side and a high-level side, and corresponding pictures on the low-level side and the high-level side are combined into one set and are sequentially encoded. This allows a reception side to decode the encoded image data of the pictures on the low-level side and the high-level side with a smaller buffer size and a reduced decoding delay.

Abstract: The current document is directed to methods and systems for monitoring a dental patient's progress during a course of treatment. A three-dimensional model of the expected positions of the patient's teeth can be projected, in time, from a three-dimensional model of the patient's teeth prepared prior to beginning the treatment. A digital camera is used to take one or more two-dimensional photographs of the patient's teeth, which are input to a monitoring system. The monitoring system determines virtual-camera parameters for each two-dimensional input image with respect to the time-projected three-dimensional model, uses the determined virtual-camera parameters to generate two-dimensional images from the three-dimensional model, and then compares each input photograph to the corresponding generated two-dimensional image in order to determine how closely the three-dimensional arrangement of the patient's teeth corresponds to the time-projected three-dimensional arrangement.

Abstract: A vehicle can include one or more movably mounted cameras that are able to move to adjust a viewing angle of the camera(s) relative to a body of the vehicle. The camera(s) may be movable by virtue of being coupled to a movable side mirror, such that movement of the side mirror changes a field of view of the camera coupled to the side mirror. For example, the side mirror can be rotated about a rotational axis between a first position in which a field of view of the camera is directed in a first direction (e.g. toward a ground proximate the vehicle), and a second position in which the field of view of the camera is directed in a second direction, different than the first direction (e.g., outward from the vehicle or toward a door of the vehicle).

Abstract: The present disclosure is directed to a method and system for increasing virtual machine (VM) density on a server system through adaptive rendering by dynamically shifting video rendering tasks to a client computing device. In one embodiment, a processor in a server manages virtual machines in the server by controlling a number of VMs and an amount of system resources allocated to the VMs. The number of VMs and the amount of resources allocated to the VMs are controlled by shifting video rendering from at least one of the VMs to a client device, and increasing the number of the VMs in the server after the shifting.

Abstract: Tracking a current and/or previous position, velocity, acceleration, and/or heading of an object using sensor data may comprise determining whether to associate a current object detection generated from recently received (e.g., current) sensor data with a previous object detection generated from formerly received sensor data. In other words, a track may identify that an object detected in former sensor data is the same object detected in current sensor data. However, multiple types of sensor data may be used to detect objects and some objects may not be detected by different sensor types or may be detected differently, which may confound attempts to track an object. An ML model may be trained to receive outputs associated with different sensor types and/or a track associated with an object, and determine a data structure comprising a region of interest, object classification, and/or a pose associated with the object.

Abstract: A non-Lambertian surface inspection system for line scan is proposed. Such a system includes: a surface inspection part including a frame provided with a curved mounting hole formed on at least one of one surface and the other surface thereof and a photographing hole formed at an upper end thereof, and a plurality of first and second illumination modules installed in the mounting hole and output light in oblique lines toward an inspection object placed on a bottom surface thereof; a camera positioned above the photographing hole to photograph the inspection object positioned on the bottom surface through the photographing hole and receive an entire reception image including first and second illumination images; and a controller to control operation of the camera, selectively operate the first illumination module and the second illumination module, and extract the first illumination image and the second illumination image.

Abstract: Technique for initialization of encoders and decoders. In some cases, the decoder receives a slice and identifies if the slice is either a forward predicted B-slice or a backward predicted B-slice, and not both a forward and backward predicted B-slice, and based upon this identification initializes, using a P-slice technique, a context associated with the slice.

Abstract: An imaging system and method includes a rolling shutter sensor that captures a plurality of images of a scene, a time-varying illumination source that illuminates the scene, and a processor that receives the plurality of images from the rolling shutter sensor and separates the plurality of images into a plurality of feeds. Each of the plurality of images is captured as a series of lines. The rolling shutter sensor and the time-varying illumination source are operated synchronously to cause a plurality of on-cadence lines of the rolling shutter sensor to receive more illumination from the time-varying illumination source than a plurality of off-cadence lines of the rolling shutter sensor. Each of the plurality of feeds has a different contribution of the time-varying illumination source to an overall illumination of the scene.

Abstract: Methods and systems are described for new paradigms for user interaction with an unmanned aerial vehicle (referred to as a flying digital assistant or FDA) using a portable multifunction device (PMD) such as smart phone. In some embodiments, a user may control image capture from an FDA by adjusting the position and orientation of a PMD. In other embodiments, a user may input a touch gesture via a touch display of a PMD that corresponds with a flight path to be autonomously flown by the FDA.

Abstract: An imaging system is described having at least three cameras and a processing unit. The at least three cameras have a common field of view and camera centres positioned along a line. The at least three cameras are configured to image a calibration object to generate a set of calibration object images, wherein the calibration object is located nearby the at least three cameras and in the common field of view. The at least three cameras are further configured to image a scene comprising a set of distant scene position points to generate a set of position point images. The processing unit is configured to generate a set of calibration parameters in dependence on the set of calibration object images and the set of position point images.

Abstract: A method for restoring video data of a pipe based on computer vision is provided. The method includes: performing gray stretching on pipe image/video collected by a pipe robot; processing noise interference by smoothing filtering; extracting an iron chain from the center of a video image as a template for location; performing target recognition on the center of video data by an SIFT corner detection algorithm; detecting ropes on left and right sides of a target by Hough transform; performing gray covering on the iron chain at the center of the video image and the ropes on two sides; and restoring data by an FMM image restoration algorithm.

Abstract: The present disclosure relates to an image processing apparatus and an image processing method capable of suppressing a reduction in encoding efficiency. A bit stream is generated which contains: information indicating a correspondence relation between at least one of a geometry image obtained by projecting position information regarding 3D data representing a three-dimensional structure onto a two-dimensional plane or a texture image obtained by projecting attribute information regarding the 3D data onto a two-dimensional plane, and an occupancy map that is map information indicating whether or not data is present at each position; and encoded data regarding the geometry image, encoded data regarding the texture image, and encoded data regarding the occupancy map. The present disclosure is applicable to, for example, an information processing apparatus, an image processing apparatus, an electronic apparatus, an information processing method, a program, and the like.

Abstract: A method, system, and non-transitory computer readable medium for encoding a privacy masked image into an encoded image frame of a video stream is disclosed. The encoding comprises receiving pixel divided image data of an image; receiving data defining an area and graphical characteristic of a privacy mask that masks part of the image; extending the privacy mask to be aligned with one or more encoding units having one or more pixels located within the privacy mask to form a redefined privacy mask; generating a privacy masked image by applying the redefined privacy mask and the graphical characteristic of the privacy mask to the image; and encoding the privacy masked image into the encoded image frame of the video stream, wherein the encoding comprises preventing spatial prediction encoding and/or temporal prediction encoding of pixels within the redefined privacy mask of the image in response to certain conditions.

Abstract: In an approach to estimating product inventory count, one or more computer processors receive one or more images of one or more products residing on a product storage location from an image capturing device. Based on the received images, one or more computer processors determine a count of the one or more products. One or more computer processors determine a confidence in the count of the one or more products. In response to determining the confidence is below a threshold, one or more computer processors calculate a recommended position of the image capturing device to produce an improved image of the one or more products. One or more computer processors transmit instructions to the image capturing device to move to the recommended position. One or more computer processors determine whether the image capturing device is in the recommended position.

Abstract: In some examples, a collision awareness system includes two cameras mounted on portions of a vehicle and processing circuitry configured to determine a position of an object based on an image captured by a first camera when the object is within a field of view of the first camera. The processing circuitry is further configured to determine the position of the object based on an image captured by a second camera when the object is within a field of view of the second camera. The processing circuitry is also configured to determine whether a distance between a future position of the vehicle and a current or future position of the object is less than a threshold level. In response to determine that the distance is less than the threshold level, the processing circuitry can generate an alert.

Abstract: The invention relates to a camera system (1) for a vehicle (2). The camera system (1) is configured to acquire image data of a surrounding of the vehicle (2) and comprises a camera (10) and a control module (20). The control module (20) is configured to determine, whether a calibration of an intrinsic parameter of the camera system (1) is required, by determining an error in a back projection, a forward projection and/or a reprojection of the image data and by determining whether the error exceeds a predefined threshold.