Abstract: The invention provides a method for assisting in a parking operation for a motor vehicle (1) using a driver assistance system (2). The driver assistance system (2) determines a parking path along which the motor vehicle (1) can be parked into a parking space (21) or driven out of the parking space (21). Image data about surroundings (10 to 13) of the motor vehicle (1) are captured by at least one optical capture device (5a to 5d) of the driver assistance system (2). The image data are processed to produce an image (19) which shows a perspective view of at least one surrounding area (20) next to the motor vehicle (1). The image (19) is displayed on a display device (3). The image (19) is produced by taking account of a current position of the motor vehicle (1) on the calculated parking path. By way of example, a direction of view (14) and/or a field of view (15) from which the perspective view is shown can be set on the basis of the current position of the motor vehicle (1) on the parking path.

Abstract: Various implementations include an occupant monitoring system (OMS) for monitoring at least one occupant in a vehicle. The OMS includes a mounting bracket coupled to a rotatable portion of a steering wheel assembly, a housing coupled to the mounting bracket, at least one imaging unit disposed within the housing, and at least one lens disposed adjacent the housing and imaging unit and facing an expected position of at least one vehicle occupant and configured for allowing light to pass through to the imaging unit. The mounting bracket extends upwardly from the steering wheel assembly adjacent a central portion thereof. The housing has a back surface that is disposed adjacent a back cover of the steering wheel assembly. The imaging unit has a field of view inside of the vehicle and is configured to capture an image signal corresponding to an imaging area within the field of view.

Abstract: The method for deriving a temporal motion vector predictor according to the present invention comprises the steps of: selecting a reference picture for a current block; deciding a predictor block corresponding to a predetermined storage unit block, as a reference prediction unit for the current block, in the reference picture; and deriving the temporal motion vector predictor from motion information of the decided reference prediction unit. The present invention enhances image compression efficiency.

Abstract: A low-power radio frequency (“RF”) network for a system of cameras that allows for efficient transmission of images (e.g., thumbnail images) from one or more REMOTE cameras or nodes to a centralized HOME camera or node. The network includes a variety of power saving features to optimize the battery life of the REMOTE cameras while still effectively transmitting captured images through the network. The power saving features include network path optimization for message and data transmission, synchronization of the wake and sleep states for each node in the network, the transfer of images from a camera module to an RF module of a node during a sleep state, etc. The network is also configured or operable to be implemented in such a manner that nodes can be readily added or removed from the network with minimal user input and without sacrificing power savings or network message transmission efficiency.

Abstract: A system and method for low power surveillance. The system receives a series of frames from a camera, each frame having a background and a foreground. A background template is generated. Thereafter, the system receives a new image frame of the scene, the new image frame having a background and a foreground. Potential regions of interest (ROI) are detected in the new image frame. Initial region descriptors are determined in the potential ROI in the foreground. The initial region descriptors are segmented to generate a segmented region. Region descriptors are re-determined from the segmented region. A contiguous sparse foreground is determined from the re-determined region descriptors, the contiguous sparse foreground being a contiguous ROI. The ROI is reconstructed using foveated compressive sensing to generate an image of an interesting object. Finally, the interesting object image is combined with the background template to reconstruct the foreground.

Abstract: A method and apparatus for providing a three-dimensional display to a viewer is disclosed. If a color difference between pixels of a right eye image area and corresponding pixels of a left eye image area is greater than or equal to a predefined difference threshold, a parallax barrier is controlled to block either the right or the left eye image area from the viewer. Otherwise, if the color difference is less than the predefined threshold, the parallax barrier is controlled to display both the right and left eye image areas to the viewer. Corresponding devices to implement the method are also disclosed. The method may be performed by an autostereoscopic display controller, or a pair of active shutter glasses, for example.

Abstract: Since an investigation apparatus is connected through a cable and is remotely operated, the cable may be caught by an obstacle, thereby limiting a movement range of the investigation apparatus. An investigation system 15 includes an investigation apparatus 50 which moves to a position where an investigation target is investigated, by using a traveling section 51 and a support apparatus 30 which moves to a position where letting-off and winding of a cable 14 for an investigation apparatus which is connected to the investigation apparatus 50 are performed, by using a traveling section 31. The investigation apparatus 50 outputs an image of the investigation target which is captured by a camera section 53, to an investigation apparatus controller 40 via the cable 14 for an investigation apparatus.

Abstract: In one example, a device includes a video coder configured to code a picture order count (POC) value for a first picture of video data, code a second-dimension picture identifier for the first picture, and code, in accordance with a base video coding specification or an extension to the base video coding specification, a second picture based at least in part on the POC value and the second-dimension picture identifier of the first picture. The video coder may comprise a video encoder or a video decoder. The second-dimension picture identifier may comprise, for example, a view identifier, a view order index, a layer identifier, or other such identifier. The video coder may code the POC value and the second-dimension picture identifier during coding of a motion vector for a block of the second picture, e.g., during advanced motion vector prediction or merge mode coding.

Abstract: Systems and methods for an image-assisted remote control vehicle are provided. An image-assisted remote control system may include a motion controlled device such as an image-assisted remote control vehicle and a remote control device. The motion controlled device may include one or more imaging modules, such as a thermal imaging module and/or a non-thermal imaging module. An infrared image of a part of a track may be captured using the infrared imaging module. A boundary of the track may be detected using the infrared image. The operation of the vehicle may be modified based on the boundary. Modifying the operation of the vehicle in this way may provide a remote controlled vehicle with the ease of use of a slot car track set, the flexibility of remote control cars and the ability for a user to design their own track.

Abstract: Determining a reference picture set (RPS), which is a set of reference pictures used in predictive decoding of a current picture that is to be decoded, including: obtaining a flag indicating whether the RPS is determined based on picture order count (POC) values of the current picture and a previous picture or whether the RPS is determined based on an index of a reference RPS, which is an identification value of the reference RPS that is one of pre-defined RPSs and is referred to in determining the RPS, and a delta RPS that is a difference value between a POC vale of a reference picture included in the reference RPS and a POC value of a reference picture included in the RPS; and determining the RPS according to a value of the flag.

Abstract: Images of a tube tray, which fits within a drawer and holds tubes in slots arranged in rows and columns, are captured to determine characteristics related to the tube tray. By analyzing the images, features of the tubes are determined, providing valuable information in an IVD environment in which a sample handler is processing the tubes. Each row of the tube tray is encoded to allow for detection of a new row moving into focus of cameras. The cameras capture an image of the tube tray, and the image is stored in a memory buffer. When the next row moves into focus, a subsequent image is taken and stored. The result is a series of images providing multi-perspective views of the rows of the tube tray. The images are analyzed to determine characteristics of the tubes, which are utilized by the sample handler in processing the tubes.

Abstract: Devices and methods for improving use of supplemental enhancement information (SEI) messages in multi-layer codecs for decoding multi-layer bitstreams containing video information are disclosed. In one aspect, a device may include a memory that stores video information associated with the multi-layer bitstream. The stored video information may include an SEI message and a processor connected to the memory. The processor determines whether the SEI message belongs to a first SEI message category or a second SEI message category based on an identifier in the SEI message. The processor further determines whether the SEI message applies to the operation points or the layers and, in response to the SEI message being of the first SEI message category and applying to the operation points, associates each semantic of the SEI message with each operation point among the operation points.

Abstract: An image processing apparatus that processes an image includes an image processor configured to: acquire a photographic image from a camera photographing a region near a host vehicle; derive a trace line showing a moving trace of a path on which the host vehicle has moved previously; derive a prediction line showing a predicted moving path of the host vehicle; generate a support image by superimposing the trace line and the prediction line on the photographic image when a wheel of the host vehicle is turned; and output the support image to a display apparatus that displays the support image.

Abstract: A machine vision system to form a digital image that includes information about both (1) relative displacements of segments of an illumination profile within the digital image due to height discontinuities of corresponding illuminated portions of various surfaces in a scene, and (2) relative reflectivity of the illuminated portions of those surfaces.

Abstract: Using various embodiments, methods, systems, and apparatuses for controlling a camera pivoting device (e.g., mechanical gimbal) are described. In one embodiment, the system comprises a main computing device, a gimbal stabilizer controller, and a computer vision camera, and/or a user camera. The system is able to track a target object using the computer vision camera even while the target object is moving, the base of the pivoting device is moving (e.g., when a user controlling the camera moves), or a combination of thereof. The camera pivoting device of the embodiments disclosed herein can be mounted on to any number of devices/objects that can provide mobility and/or transportation.