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To detect changes in repeated astronomical images of the same field of view (FOV), a common practice is to stroboscopically switch between the images. Using this method, objects that are changing in location or intensity between images are…

Astrophysics · Physics 2009-11-13 Keith S Cover , Frank J Lagerwaard , Suresh Senan

Color intensity projections (CIP) have been shown to improve the visualisation of greyscale angiography images by combining greyscale images into a single color image. A key property of the combined CIP image is the encoding of the arrival…

Graphics · Computer Science 2017-02-02 Keith S. Cover

The Hyper Suprime-Cam Subaru Strategic Program (HSC-SSP) is currently the deepest wide- field survey in progress. The 8.2 m aperture of Subaru telescope is very powerful in detect- ing faint/small moving objects, including near-Earth…

Observation datasets acquired by the Hyper Suprime-Cam (HSC) on the Subaru Telescope for NASA's New Horizons mission target search were analyzed through a method devised by JAXA. The method makes use of Field Programmable Gate arrays and…

Chopping observations with a tip-tilt secondary mirror have conventionally been used in ground-based mid-infrared observations. However, it is not practical for next generation large telescopes to have a large tip-tilt mirror that moves at…

The paper deals with a computational method for detection of the solar system minor bodies (SSOs), whose inter-frame shifts in series of CCD-frames during the observation are commensurate with the errors in measuring their positions. These…

Color and intensity are two important components in an image. Usually, groups of image pixels, which are similar in color or intensity, are an informative representation for an object. They are therefore particularly suitable for computer…

Computer Vision and Pattern Recognition · Computer Science 2017-05-01 Guanjun Guo , Hanzi Wang , Wan-Lei Zhao , Yan Yan , Xuelong Li

Infrared small object detection (ISOS) aims to segment small objects only covered with several pixels from clutter background in infrared images. It's of great challenge due to: 1) small objects lack of sufficient intensity, shape and…

Computer Vision and Pattern Recognition · Computer Science 2023-03-09 Chenyi Wang , Huan Wang , Peiwen Pan

The Latitude Density Search utilized Hyper Suprime-Cam on Subaru Telescope to discover 60 moving objects in the outer Solar System, 54 of which have semi-major axes beyond 30 AU. The images were acquired in exceptional seeing (0.4") and…

Earth and Planetary Astrophysics · Physics 2021-05-07 Rosemary E. Pike , Jayatee Kanwar , Mike Alexandersen , Ying-Tung Chen , Megan E. Schwamb

The RGB complementary metal-oxidesemiconductor (CMOS) sensor works within the visible light spectrum. Therefore it is very sensitive to environmental light conditions. On the contrary, a long-wave infrared (LWIR) sensor operating in 8-14…

Computer Vision and Pattern Recognition · Computer Science 2022-06-09 Mohsen Vadidar , Ali Kariminezhad , Christian Mayr , Laurent Kloeker , Lutz Eckstein

Digital co-addition of astronomical images is a common technique for increasing signal-to-noise and image depth. A modification of this simple technique has been applied to the detection of minor bodies in the Solar System: first stationary…

Earth and Planetary Astrophysics · Physics 2015-05-18 Alex H. Parker , JJ. Kavelaars

Perception of the visually disjoint surfaces of our cluttered world as whole objects, physically distinct from those overlapping them, is a cognitive phenomenon called objectness that forms the basis of our visual perception. Shared by all…

Computer Vision and Pattern Recognition · Computer Science 2024-02-05 Douglas Poland , Amar Saini

Unsupervised object discovery and localization aims to detect or segment objects in an image without any supervision. Recent efforts have demonstrated a notable potential to identify salient foreground objects by utilizing self-supervised…

Computer Vision and Pattern Recognition · Computer Science 2024-01-05 Xin Zhang , Jinheng Xie , Yuan Yuan , Michael Bi Mi , Robby T. Tan

We explore methods to detect automobiles in Planet imagery and build a large scale vector field for moving objects. Planet operates two distinct constellations: high-resolution SkySat satellites as well as medium-resolution SuperDove…

Computer Vision and Pattern Recognition · Computer Science 2024-06-11 Adam Van Etten

We present properties of moderately massive clusters of galaxies detected by the newly developed Hyper Suprime-Cam on the Subaru telescope using weak gravitational lensing. Eight peaks exceeding a S/N ratio of 4.5 are identified on the…

Moving object detection is important in computer vision. Event-based cameras are bio-inspired cameras that work by mimicking the working of the human eye. These cameras have multiple advantages over conventional frame-based cameras, like…

Computer Vision and Pattern Recognition · Computer Science 2022-01-13 Anindya Mondal , Mayukhmali Das

The cosmic infrared background (CIB) consists of emission from distant, dusty, star-forming galaxies. Energetically, the CIB is very important as it contains as much energy as the extragalactic optical background. The nature and…

Astrophysics · Physics 2009-11-11 D. L. Clements , K. G. Isaak , S. C. Madden , C. Pearson

Under weak illumination, tracking and imaging moving object turns out to be hard. By spatially collecting the signal, single pixel imaging schemes promise the capability of image reconstruction from low photon flux. However, due to the…

We describe a method for visual object detection based on an ensemble of optimized decision trees organized in a cascade of rejectors. The trees use pixel intensity comparisons in their internal nodes and this makes them able to process…

Computer Vision and Pattern Recognition · Computer Science 2014-08-20 Nenad Markuš , Miroslav Frljak , Igor S. Pandžić , Jörgen Ahlberg , Robert Forchheimer
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