The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper we present a method for registering a pair of differently exposed Low Dynamic Range (LDR) images for the purpose of rendering a High Dynamic Range (HDR) image. In general, the images are captured from a moving camera and/or contain moving objects. Therefore, proper registration is required to enable HDR rendering. However, even for equally exposed images, registration is an ill posed...
Image stitching has been extensively studied over the last decade, particularly since the introduction of scale invariant feature transform and bundle adjustment techniques. This paper investigates three major challenges that need to be solved for aerial video stitching: significant motion blur in some frames, the scale factor in the stitched images and the constant change of the camera projection...
Mosaicing is the aligning of several frames into a single composition that represents part of a 3D scene. This is useful for many different applications, including virtual realty environments and movie special effects. Image mosaicing is commonly used to increase the visual field of view by pasting together many images or video frames. Mosaicing is a two step process. In the first step all the frames...
A multiple color-filter aperture (MCA) camera can provide depth information as well as color and intensity in the single-camera framework, where the MCA generates misalignment between color channels depending on the distance of a region-of-interest. In this paper, we present a simultaneous object tracking and depth estimation approach based on the color shifting property of an MCA camera. An object...
Satellite image registration has been investigated for several years. Nevertheless, little attention has been paid to the linear geometry of the satellite's imaging sensor, often consisting of several pushbroom cameras. Each pushbroom camera captures 1-D image and uses straight motion of the satellite to build a 2-D image. Yet, attitude variations of the satellite during the aquisition process can...
Video scaling is a crucial video processing component that finds a variety of applications in video display, enhancement and analysis. Thus, video scaling has been an important research topic for several years now. With the emergence of hybrid-cameras that simultaneously capture a low-resolution (LR) video and periodic high-resolution (HR) stills, methods that use information in HR stills for enhancing...
This paper presents an algorithm that detects and tracks marine vessels in video taken by a nonstationary camera installed on an untethered buoy. The video is characterized by large inter-frame motion of the camera, cluttered background, and presence of compression artifacts. Our approach performs segmentation of ships in individual frames processed with a color-gradient filter. The threshold selection...
Vision based vehicle detection attracts much attention in low-altitude platform for urban traffic surveillance which has great potential practical value. The major difficulties of moving vehicle detection are two-fold: 1) the unconstrained motion of the camera platform; 2) crowded vehicles are connected and hard to be segmented. To address these problems, we proposed an improved registration method...
In this work, we propose a feedback scheme for simultaneous thermal-visible video registration, sensor fusion, and tracking for online video surveillance applications. The video registration is based on a RANSAC trajectory-to-trajectory matching that estimates an affine transformation matrix that maximizes the corresponding trajectory points and overlapping of foreground thermal and visible pixels...
This paper proposes a block-based approach to the problem of image registration for detecting camera motion in the presence of moving objects, intended for application in the area of video inpainting for the film industry. The method of aggregating search results on individual blocks during the registration offers a simple and effective way to isolate the background transform, as well as offering...
Motion artifacts are one of the issues in cardiac optical mapping studies. This paper is focused on the description of the motion artifacts caused by planar movement. The theory of its origin and possibilities of its suppression is described. The suppression of the motion artifacts is based on image registration techniques. There are introduced the characteristics about influence of the weighted area...
Low-cost high-solution multispectral imagery is attractive to various applications. This paper presents our ongoing research on developing Band-reconfigurable Unmanned Airship on Board Imaging System and focuses on the automatic registration of multispectral imageries at its each exposure. First, the overall architecture of developed Multispectral Imaging system as well as its main functions and core...
A novel and convenient multi-camera self-calibration method is proposed in this paper. Different from other calibration methods, our method is done by analyzing human body motion. The only constraint is that several people of different heights are needed to walk around the experimental environment one by one in the calibration period. By this way, two kinds of corresponding points are extracted from...
Taking photographs under low light conditions with a hand-held camera is problematic. A long exposure time can cause motion blur due to the camera shaking and a short exposure time gives a noisy image. We consider the new technical possibility offered by cameras that take image bursts. Each image of the burst is sharp but noisy. In this preliminary investigation, we explore a strategy to efficiently...
In clinical diagnosis and treatment, the images which we wanted are taken in obscuration or the object which is caught is moving during imaging, which will cause the SNR of the images to be very low, and make the image registration difficulty. To improve the quality of image quality, the joint transform correlator is used to measure the image motion between the serial images, then the images are aligned...
Marking-based lane recognition requires an unobstructed view onto the road. In practice however, heavy traffic often constrains the visual field, especially in urban scenarios such as urban crossroads. In this paper we present a novel approach to road mosaicing for dynamic environments. Our method is based on a multistage registration procedure and uses blending techniques. We show that under modest...
In this paper we present a novel structure from motion (SfM) approach able to infer 3D deformable models from uncalibrated stereo images. Using a stereo setup dramatically improves the 3D model estimation when the observed 3D shape is mostly deforming without undergoing strong rigid motion. Our approach first calibrates the stereo system automatically and then computes a single metric rigid structure...
This research proposes a perspective invariant registration algorithm which improves on popular registration algorithms such as SIFT and SURF by correcting for perspective distortion using optical flow. A novel addition to the natural feature based registration process is proposed, which uses orientation information from previously correctly registered frames to attempt perspective correction. This...
This paper proposes an hybrid approach to estimate the 3D pose of an object. The integration of texture information based on image intensities in a more classical non-linear edge-based pose estimation computation has proven to highly increase the reliability of the tracker. We propose in this work to exploit the data provided by an optical flow algorithm for a similar purpose. The advantage of using...
We describe a GPU-based implementation of motion detection from a moving platform. Motion detection from a moving platform is inherently difficult as the moving camera induces 2D motion field in the entire image. A step compensating for camera motion is required prior to estimating of the background model. Due to inevitable registration errors, the background model is estimated according to a sliding...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.