In order to appropriately estimated a position of a moving object on the basis of a captured image, a position estimating apparatus 100 includes an obtaining section 110 configured to obtain an image coordinates representing an image position of a moving object 300 in an image captured by an imaging apparatus 200, and a converting section 130 configured to convert the image coordinates for the moving object 300 to real space coordinates for the moving object 300, based on information obtained from a correspondence between real space coordinate information indicating a predetermined point in a real space and image coordinate information representing the predetermined point.

The present invention provides a horizontal calibration method and system for a panoramic image or video, and a portable terminal. The method comprises: receiving images or video frames of two circles after being imaged by two cameras having opposite photographing directions; obtaining a horizontal calibration matrix during photographing; and pasting, according to the horizontal calibration matrix, the images or video frames of the two circles to a left hemispherical curved surface and a right hemispherical curved surface of a spherical panoramic mathematical model in a UV mapping manner, respectively so that the panoramic images or video frames pasted in the spherical panoramic mathematical model are horizontal. According to the present invention, when an image or a video frame photographed by a panoramic camera is not horizontal, the panoramic image or the video frame pasted in a spherical panoramic mathematical model is still horizontal.

A camera calibration method, an electronic device, a storage medium, and a road side device are provided. The method includes: determining an initial value of an internal parameter, an initial value of an external parameter, and an initial value of a distortion coefficient of the camera; determining a conversion relationship of a point in an image captured by the camera from a world coordinate system to a pixel coordinate system; projecting a plurality of feature points in a high-precision map of a first area onto the pixel coordinate system of a first image, of the first area, captured by the camera to obtain a plurality of projection points; and obtaining the internal parameter and the distortion coefficient of the camera through a least square method, based on coordinates of the plurality of feature points in the pixel coordinate system.

A system for generating high-resolution de-warped omni-directional stereo image from captured omni-directional stereo image by correcting optical distortions using projection patterns is provided. The system includes a projection pattern capturing arrangement, a projector or a display, and a de-warping server. The projection pattern capturing arrangement includes one or more omnidirectional cameras to capture projection patterns from the captured omni-directional stereo image from each omni-directional stereo camera. The projector or the display displays the projection patterns. The de-warping server obtain the projection patterns and processes the projection patterns to generate high resolution de-warped omni-directional stereo image by correcting optical distortions in the captured omni-directional stereo image and mapping the captured omni-directional stereo image and the high resolution de-warped omni-directional stereo image.

A projection apparatus and a keystone correction method thereof are provided. The projection apparatus includes a display processing circuit including an image processing circuit, a first keystone correction circuit, a rotation circuit, a second keystone correction circuit, and a video output circuit. The first keystone correction circuit performs first keystone correction processing on a processed image frame based on horizontal scaling processing to obtain a first corrected image frame. The rotation circuit performs rotation processing on the first corrected image frame to write a rotated image frame into a memory. The second keystone correction circuit reads the rotated image frame from the memory and performs second keystone correction processing on the rotated image frame based on the horizontal scaling processing to obtain a second corrected image frame. The video output circuit transmits the second corrected image frame to a projection module through a data transmission interface.

Approaches describe detecting and predicting crowd congestion in real-time for large gatherings, for example large religious mass gatherings. Approaches may utilize image and/or video data, and/or pedestrian trajectory data. The various pieces of information may be identified, extracted, and/or determined from a variety of different disaggregated sources and may be aggregated, and/or determined to generate a congestion detection score and/or score map that is indicative of the degree of crowd congestion in a geographic region and can forecast future crowd congestion in the geographic region. Approaches may be used to monitor a crowd to prevent or mitigate crowd disasters. Moreover, approaches may be used by crowd management entities to timely detect congested regions and manage the crowd efficiently.

Systems and methods are provided for utilizing histogram views for improved visualization of three-dimensional (3D) medical images. Imaging data obtained during medical imaging examination of a patient may be processed, with the imaging data corresponding to a particular medical imaging technique. At least one medical image may be generated based on processing of the imaging data. Histogram data may be generated based on the at least one medical image. At least one histogram may be displayed along with the at least one medical image or a projection of the at least one medical image, with the at least one histogram including or being is based on the histogram data, and with the at least one histogram being displayed next to and aligned with the at least one medical image or the projection of the at least one medical image.

Search points in a search space may be projected onto images from cameras imaging different parts of the search space. Subimages, corresponding to the projected search points, may be selected and processed to determine if a target object has been detected. Based on subimages in which target objects are detected, as well as orientation data from cameras capturing images from which the subimages were selected, positions of the target objects in the search space may be determined.

An image processing apparatus includes a representative-distance calculator and a joining processor. The representative-distance calculator generates representative distance values of the basis of a distance image generated from a stereo image including an image of at least one object including a vehicle. The distance image includes distance values of pixels. The joining processor performs a joining process of joining a first image region and a second image region that are defined based on the image of the at least one object in the stereo image, performs a determining process of determining whether a temporarily joined region in which the first image region and the second image region are temporarily joined includes an image of a corner portion of the vehicle, and refrains from performing the joining process when the temporarily joined region includes the image of the corner portion.

Systems, methods, and non-transitory computer-readable media can provide at least one frame of a content item to a saliency prediction model, the saliency prediction model being trained to identify salient points of interest that appear in content items. Information describing at least a first salient point of interest that appears in the at least one frame can be obtained from the saliency prediction model. The first salient point of interest can be predicted to be of interest to users accessing the content item. A view-based projection can be applied to a region corresponding to the first salient point of interest, wherein the view-based projection enhances a quality in which the region is presented.