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Related papers: OptoTracker project proposal

200 papers

We present PixTrack, a vision based object pose tracking framework using novel view synthesis and deep feature-metric alignment. We follow an SfM-based relocalization paradigm where we use a Neural Radiance Field to canonically represent…

Computer Vision and Pattern Recognition · Computer Science 2024-02-16 Prajwal Chidananda , Saurabh Nair , Douglas Lee , Adrian Kaehler

A novel method for fast information retrieval from a probe storage device is considered. It is shown that information can be stored and retrieved using the optical diffraction patterns obtained by the illumination of a large array of…

Information Theory · Computer Science 2015-05-27 Joost van Honschoten , Henri de Jong , Wabe W. Koelmans , Thomas P. Parnell , Oleg V. Zaboronski

This work addresses the critical problem of tracking fast-moving objects through strongly scattering media in a low-light environment. Different from existing approaches that use frame-based cameras with fixed exposure times, which trade…

Computer Vision and Pattern Recognition · Computer Science 2026-04-29 Yuqing Cao , Shuo Zhu , Rongzhou Chen , Jingyan Chen , Ni Chen , Edmund Y. Lam

We propose a new scintillation-type detector in which high-energy radiation produces electron-hole pairs in a direct-gap semiconductor material that subsequently recombine producing infrared light to be registered by a photo-detector. The…

Instrumentation and Detectors · Physics 2009-11-13 A. Kastalsky , S. Luryi , B. Spivak

In this paper, we propose a new joint object detection and tracking (JoDT) framework for 3D object detection and tracking based on camera and LiDAR sensors. The proposed method, referred to as 3D DetecTrack, enables the detector and tracker…

Computer Vision and Pattern Recognition · Computer Science 2021-12-16 Junho Koh , Jaekyum Kim , Jinhyuk Yoo , Yecheol Kim , Dongsuk Kum , Jun Won Choi

3D object tracking is a critical task in autonomous driving systems. It plays an essential role for the system's awareness about the surrounding environment. At the same time there is an increasing interest in algorithms for autonomous cars…

Computer Vision and Pattern Recognition · Computer Science 2022-10-31 Nicola Marinello , Marc Proesmans , Luc Van Gool

We summarize the R&D activities on a novel semitransparent microstrip sensor to be used on laser-based alignment systems for silicon trackers. The new sensor is used both for particle tracking and laser detection. The aim of this research…

We propose a method to reconstruct the optical absorption of a highly-scattering medium probed by diffuse light. The method consists of learning the optical detection system and then using this result to reconstruct the absorption. Our…

Optics · Physics 2025-10-08 Zijian Wang , Andreas Hauptmann , Lu Lu , John C. Schotland

We present a novel object tracking scheme that can track rigid objects in real time. The approach uses subpixel-precise image edges to track objects with high accuracy. It can determine the object position, scale, and rotation with…

Computer Vision and Pattern Recognition · Computer Science 2019-04-09 Tobias Böttger , Markus Ulrich , Carsten Steger

Opaque scintillators are designed to have a short scattering length such that scintillation photons are probabilistically confined to a small region of space about their origin. The benefit of this feature is that information on the…

Instrumentation and Detectors · Physics 2023-02-10 Andrew Wilhelm , Garrett Wendel , Brandon Collins , Doug Cowen , Igor Jovanovic

We introduce CoTracker, a transformer-based model that tracks a large number of 2D points in long video sequences. Differently from most existing approaches that track points independently, CoTracker tracks them jointly, accounting for…

Computer Vision and Pattern Recognition · Computer Science 2024-10-02 Nikita Karaev , Ignacio Rocco , Benjamin Graham , Natalia Neverova , Andrea Vedaldi , Christian Rupprecht

We present a versatile and fast MATLAB program (UmUTracker) that automatically detects and tracks particles by analyzing video sequences acquired by either light microscopy or digital in-line holographic microscopy. Our program detects the…

Computer Vision and Pattern Recognition · Computer Science 2017-09-13 Hanqing Zhang , Tim Stangner , Krister Wiklund , Alvaro Rodriguez , Magnus Andersson

We present SDTracker, a method that harnesses the potential of synthetic data for multi-object tracking of real-world scenes in a domain generalization and semi-supervised fashion. First, we use the ImageNet dataset as an auxiliary to…

Computer Vision and Pattern Recognition · Computer Science 2023-03-28 Yingda Guan , Zhengyang Feng , Huiying Chang , Kuo Du , Tingting Li , Min Wang

Object tracking is the cornerstone of many visual analytics systems. While considerable progress has been made in this area in recent years, robust, efficient, and accurate tracking in real-world video remains a challenge. In this paper, we…

Computer Vision and Pattern Recognition · Computer Science 2018-06-19 Saeed Ranjbar Alvar , Ivan V. Bajić

We introduce AllTracker: a model that estimates long-range point tracks by way of estimating the flow field between a query frame and every other frame of a video. Unlike existing point tracking methods, our approach delivers…

Purpose: To demonstrate a proton imaging system based on well-established fast scintillator technology to achieve high performance with low cost and complexity, with the potential of a straightforward translation into clinical use. Methods:…

Direct methods have shown excellent performance in the applications of visual odometry and SLAM. In this work we propose to leverage their effectiveness for the task of 3D multi-object tracking. To this end, we propose DirectTracker, a…

Computer Vision and Pattern Recognition · Computer Science 2022-09-30 Mariia Gladkova , Nikita Korobov , Nikolaus Demmel , Aljoša Ošep , Laura Leal-Taixé , Daniel Cremers

Tracking has traditionally been the art of following interest points through space and time. This changed with the rise of powerful deep networks. Nowadays, tracking is dominated by pipelines that perform object detection followed by…

Computer Vision and Pattern Recognition · Computer Science 2020-08-24 Xingyi Zhou , Vladlen Koltun , Philipp Krähenbühl

A new generation of ultra-low-background scintillator-based detectors aims to study solar neutrinos and search for dark matter and new physics beyond the Standard Model. These optical, non-imaging detectors generally contain a "fiducial…

Instrumentation and Detectors · Physics 2009-11-11 Cristiano Galbiati , Kevin McCarty

Neutrino oscillation experiments require a precise measurement of the neutrino energy. However, the kinematic detection of the final-state neutron in the neutrino interaction is missing in current neutrino oscillation experiments. The…