Abstract: An adjusting method of a camera module, a lens position control device, a control device of a linear movement device, and a controlling method of the same are provided in a state of the cameral module in which an imaging element and an actuator are combined. The camera module includes a position sensor (53) that detects a position of a lens (50) to output a detection position signal, a storage unit (541) that stores and rewrites a position code value corresponding to the position of the lens, a target position signal generation unit (542) that outputs a target position signal based on the position code value and the target position code value, and a control unit (543) that generates a control signal based on the target position signal and the detection position signal.

Abstract: A window structure includes a window, a design layer structure on the window, a light shield layer on the design layer structure, and a light absorption layer. The design layer structure includes a first hole exposing a portion of the window. The light shield layer includes a second hole in fluid communication with the first hole. The light absorption layer covers at least a portion of the design layer structure exposed by the first and second holes, and includes a third hole exposing a portion of the window. By including the light absorption layer of a gray or black color to cover exposed portions of the design layer structure, a vignette about an image caused by the design layer structure is prevented.

Abstract: Systems and methods are provided for navigating an autonomous vehicle. In one implementation, a system for navigating a host vehicle based on movement of a target vehicle toward a lane being traveled by the host vehicle may include at least one processing device. The processing device may be programmed to receive a plurality of images associated with an environment of the host vehicle, analyze at least one of the plurality of images to identify the target vehicle and at least one wheel component on a side of the target vehicle, analyze a region including the at least one wheel component of the target vehicle to identify motion associated with the at least one wheel component of the target vehicle, and cause at least one navigational change of the host vehicle based on the identified motion associated with the at least one wheel component.

Abstract: An image target tracking method and system thereof are provided in the present disclosure. The image target tracking method includes the following steps: determining a relative position between a target and a camouflage interference in an image; generating a prediction trajectory according to the relative position between the target and the camouflage interference in the image; and correlating an observation sample position with the prediction trajectory to generate a correlation result, and determining whether the target is blocked and tracking the target according to the correlation result. Throughout the process, the prediction trajectory is generated based on the determined relative position between the target and the camouflage interference, and the prediction trajectory is correlated to determine whether the target is blocked and to accurately track the target.

Abstract: Techniques are disclosed for performing optical character recognition (OCR) by assessing and improving quality of electronic documents to perform the OCR. For example a method for identifying information in an electronic document includes obtaining a reference image of the electronic document, distorting the reference image by adjusting different sets of one or more parameters associated with a quality of the reference image to generate a plurality of distorted images, analyzing each distorted image to detect the adjusted set of parameters and corresponding adjusted values, determining an accuracy of detection of the set of parameters and the adjusted values, and training a model based at least on the plurality of distorted images and the accuracy of the detection, wherein the trained model determines at least a first technique for adjusting a set of parameters in a second image to prepare the second image for optical character recognition.

Abstract: Provided is a method for removing character background in a color image that obtains an image for printing evaluation by removing a background design of a character from the color image of a printed object on which the character has been printed. The method includes separating a color input image into a character part and a background part, calculating a discriminant function for separating pixels of the character part and pixels of the background part based on pixel values, and generating a background-removed image by removing the background part from the input image by using the discriminant function.

Abstract: Provided are methods, apparatuses, systems, and non-transitory computer readable media for image trend detection and curation. A method includes collecting image content created in association with each of events and performing image clustering with respect to each of the events; detecting information about a representative event that represents an image trend based on a cluster according to the image clustering; and providing information about the representative event to an electronic device, in response to a service request received from the electronic device over a network.

Abstract: A control apparatus and method that captures video image includes acquiring a parameter for recognition processing with respect to acquired image data and changing the acquired parameter according to a change in zoom magnification of an image capturing unit.

Abstract: According to examples of the present disclosure, a method and apparatus for automatic white balance may be provided. A white region for performing automatic white balance may be obtained by a front end device of a video monitoring system. At least one cluster may be generated by clustering statistical points within the white region of a to-be-detected image by the front end device. The cluster may be determined as a target cluster and statistical points within the target cluster may be determined as white points by the front end device when the number of statistical points within the cluster is greater than a preset threshold. And a white balance gain of the to-be-detected image may be determined by the front end device based on the target cluster.

Abstract: An obstacle warning method includes the steps of: acquiring scenario images at a current sampling time and a previous sampling time, and a map about first relative distances between respective viewing points in a viewing field and a vehicle; acquiring a profile and marking information of an obstacle and a map about a second relative distance between the obstacle and the vehicle in accordance with the map about the first relative distances; calculating a map about a third relative distance between the obstacle and the vehicle at a previous sampling time in accordance with the map about the first relative distances at the previous sampling time, the profile and the marking information of the obstacle at the current sampling time and a motion vector of the obstacle from the current sampling time to the previous sampling time.

Abstract: A time-of-flight camera system is described. The time-of-flight camera system includes an illuminator to illuminate a region within the time-of-flight camera system's field of view. The time-of-flight camera system includes an image sensor to receive optical signals from the illumination for determining depth profile information within the field of view using time-of-flight measurement techniques. The image sensor has circuitry to determine one or more regions within the field of view where a received optical signal from the illuminating was weak. The illuminator is also to re-illuminate the one or more regions with stronger light than the one or more regions received during the illuminating. Each of the one or more regions being smaller than the region. The image sensor is also to receive optical signals from the re-illumination for determining depth profile information within the one or more regions.

Abstract: An electro-optical device includes: an optical module including a switchable mirror layer configured to operate in a mode selected from a transmissive mode and a reflective mode; a display module configured to generate data images; and a camera module configured to obtain external images, wherein the switchable mirror layer is configured to provide the data images to different directions from each other to correspond to the transmissive mode and the reflective mode.

Abstract: A circuit board device includes a polyhedral support frame and a circuit board unit. The circuit board unit includes two rigid boards and a flexible board connecting the two rigid boards. The two rigid boards are folded with respect to each other through the flexible board and are disposed on different sides of the support frame, respectively.

Abstract: A time-of-flight camera system is described. The time-of-flight camera system includes an illuminator to illuminate a region within the time-of-flight camera system's field of view. The time-of-flight camera system includes an image sensor to receive optical signals from the illumination for determining depth profile information within the field of view using time-of-flight measurement techniques. The image sensor has circuitry to determine one or more regions within the field of view where a received optical signal from the illuminating was weak. The illuminator is also to re-illuminate the one or more regions with stronger light than the one or more regions received during the illuminating. Each of the one or more regions being smaller than the region. The image sensor is also to receive optical signals from the re-illumination for determining depth profile information within the one or more regions.

Abstract: A system for carrying out pest baiting, comprises an unmanned aerial vehicle (UAV) which is controllable to record image data over a predefined flight path, the image data being captured by an image recording device. A computer processing arrangement is operable to evaluate the recorded image data to determine pest related data associated with an animal species identified as a pest, and to subsequently determine a baiting program for eradication of the animal species based on the determined pest data.

Abstract: In an object detection apparatus, a proximity determination unit determines whether or not a first object and a second object are in close proximity to each other, where the first object is an object detected based on detection information acquired from a radar and the second object is an object detected based on a captured image acquired from a monocular camera. A sameness determination unit determines that the first object and the second object are the same object, if it is determined that the first object and the second object are in close proximity to each other and if a difference between a first collision time with the first object and a second collision time with the second object is less than a reference value.

Abstract: A method for facilitating detection of at least one anomaly in a representation of a product having a pattern is provided. The method involves causing at least one processor to receive image data representing the product during processing, identify from the image data generally similar images representing respective instances of a repeated aspect of the pattern, each of the images including image element values, generate a set of corresponding image element values including an image element value from each image, identify at least one image element value from the set of corresponding image element values to be excluded from a subset of the set of corresponding image element values, generate at least one criterion based on the subset, and cause the at least one criterion to be used to facilitate identification of the at least one anomaly. Other methods, apparatuses, systems, and computer readable media are also provided.

Abstract: An object detection system for an automated vehicle includes a radar, a camera, and a controller. The radar detects a cluster of targets characterized by a radar-distance (x) from the host-vehicle. The camera renders an image of an object and a lane-marking present in the area.

Abstract: An image sensor including a comparator configured to generate a comparison signal by comparing a ramp signal and a pixel signal with each other, a counter configured to generate a digital pixel value by counting an input clock signal according to the comparison signal, and a divider configured to control a frequency of the input clock signal according to an analog gain of the image sensor.

Abstract: The present invention provides a technique for achieving higher picture quality of a captured image by reducing noise which occurs at the time of resetting in a solid-state image sensing device and the like. A pixel array in a solid-state image sensing device includes a plurality of pixels and includes an OB pixel region and an effective pixel region. The solid-state image sensing device has a signal processing unit outputting a pixel signal of each of the pixels in the effective pixel region on the basis of the signal level of a signal output from each of the pixels. The solid-state image sensing device obtains a signal without applying a reset signal to each of the pixels in the OB pixel region, obtains the difference between the signal and a signal of a pixel in the effective pixel region, and outputs an image signal.