A video signal processing device including a video signal dividing unit that divides a video signal into first to k-th division video signals (k is an integer of 2 or more) for each frame; a video change detecting unit that detects, for each of the first to k-th division video signals, whether or not there has occurred a change in the video signal between the frames, and generates first to k-th video change detection signals representing the detection results; and a video no-change determining unit that generates a video no-change signal indicating that there is no change in the video signal when the number of video change detection signals indicating that there is no change among the first to k-th video change detection signals is greater than a predetermined number.

A vehicular test system for testing a vehicular sensing system includes a sensor support structure having a proximal end disposed at a vehicle, a distal end extending away from the vehicle, and a force providing element that provides a force to move the distal end of the sensor support structure. A vehicular sensor is disposed at the distal end of the sensor support structure. When the vehicular sensor is approaching a collision with an object, such as during testing of vehicular sensors and vehicular sensing systems, a control controls the force providing element to move the distal end of the sensor support structure and the vehicular sensor to avoid the collision.

A displacement meter for suppressing errors occurring in sub-pixel estimation, comprising: alight source that illuminates an object; an image pickup unit for receiving diffused-reflected light from the object; and a calculation unit for calculating the a displacement amount of the object by using sub-pixel estimation and the cross-correlation function between reference image data and measurement image data, wherein an image acquired during a predetermined timing from the imaging unit serves as the reference image data and an image acquired during the next timing serves as the measurement image data, generates a correction displacement amount by subtracting a correction value from the displacement amount, sets the most recent measurement image data as the reference image data and sets a predetermined initial value as the correction value if the displacement amount meets a predetermined condition, and else sets the displacement amount obtained most recently as the correction value.

The present disclosure provides a camera signal monitoring apparatus and method, the camera signal monitoring apparatus including a processor, which includes a vehicle information input unit for receiving a vehicle speed and a yaw rate signal of a vehicle; a camera information input unit for receiving a camera signal including a vehicle speed and a yaw rate signal from a vehicle front camera; and a monitoring unit for calculating a vehicle driving trajectory using the vehicle speed and the yaw rate signal of the vehicle input from the vehicle information input unit, calculating a reference curvature value based on the calculated vehicle driving trajectory, and determining a reliability by comparing the calculated reference curvature value with a curvature value calculated by the camera signal input from the camera information input unit.

An example method of infrared access, comprising, receiving a plurality of visual images, receiving a plurality of infrared images, calibrating pairs of at least one of the plurality of visual images to a respective at least one of the plurality of infrared images, determining an average temperature of the plurality of infrared images, determining a temperature of the respective calibrated pairs, and granting access if a visual image of the calibrated pair is authenticated by a facial recognition library and if the temperature of the calibrated pair is within a predefined threshold of the average temperature.

Systems and methods are described for detecting a triggering event in a gaming environment and recording a segment of video. In some aspects, the method may include obtaining a camera projection matrix associated with the gaming environment that correlates points in the gaming environment between a two-dimensional pixel space and a three-dimensional physical representation. An input video may be obtained from the gaming environment. Pose coordinates, including two-dimensional pixel space location, of a body part of a person in the input video may be estimated, and converted to three-dimensional pose coordinates using the camera projection matrix. A person of interest having a body part located within a region of interest in the gaming environment may be identified to determine if a triggering event has occurred. Storage of an input video segment that includes the trigger movement may be initiated on a storage device in communication with the user device.

A vehicle monitoring system includes: a monitoring device that monitors whether a person is present or not in a cabin of a vehicle capable of autonomous driving; and a control device that determines whether the monitoring device is experiencing a malfunction, and outputs a result of the determination.

An image sensing device includes a first substrate configured to include a plurality of unit pixels configured to detect incident light to produce pixel signals carrying image information in the incident light, a second substrate positioned adjacent to the first substrate and including a structure that generates a first magnetic field at the first substrate affecting the plurality of unit pixels and at least one shielding device disposed between the first substrate and the second substrate, wherein the shielding device includes a sensing circuit configured to detect a first voltage corresponding to the first magnetic field and an offset circuit configured to generate, based on the first voltage, a second magnetic field that counteracts the first magnetic field.

A camera system lens or image sensor is moved to change the distance between the image sensor the lens in order for the image sensor to capture an-focus of an object. The camera system includes one or more calibration values indicating distances between the lens and the image sensor for different distances to objects, such as a macro calibration value and an infinity calibration value. These one or more calibration values are used by the camera system when manually focusing the camera system (e.g., a user manually sets the camera system to a macro setting or an infinity setting) or when automatically focusing the camera system on an object. These one or more calibration values are dynamically updated during use of the camera system, allowing the camera system to adapt to various factors such as changes in environment, pressure applied to the camera system, and so forth.

Systems and methods of the invention merge information from multiple image sensors to provide a high dynamic range (HDR) video. The present invention provides for real-time HDR video production using multiple sensors and pipeline processing techniques. According to the invention, multiple sensors with different exposures each produces an ordered stream of frame-independent pixel values. The pixel values are streamed through a pipeline on a processing device. The pipeline includes a kernel operation that identifies saturated ones of the pixel values. The streams of pixel values are merged to produce an HDR video.