Results 61 to 70 of about 586,693 (333)

Tracking Generic Objects in Videos

, 2023
Visual object tracking is a fundamental problem in computer vision and finds its application in multiple tasks such as autonomous driving, robotics, surveillance, video understanding, and sports analysis. Generic Object Tracking (GOT) is a specialized tracking task that aims at tracking virtually any object in a video by using a userspecified bounding ...
openaire   +2 more sources

Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende, Emilien Petit, Young Woo Park, Sophie Tezenas du Montcel, James M. Joers, Jonathan M. DuBois, H. Moore Arnold, Michal Povazan, Ipek Özdemir, Guita Banan, Romain Valabregue, Philipp Ehses, Jennifer Faber, Chiadi U. Onyike, Peter B. Barker, Jeremy D. Schmahmann, Eva‐Maria Ratai, Sub H. Subramony, Thomas H. Mareci, Khalaf O. Bushara, Henry Paulson, Thomas Klockgether, Alexandra Durr, Tetsuo Ashizawa, Christophe Lenglet, Gülin Öz, READISCA Investigators   +26 more
wiley   +1 more source

Convolutional neural network–based person tracking using overhead views

International Journal of Distributed Sensor Networks, 2020
In video surveillance, person tracking is considered as challenging task. Numerous computer vision, machine and deep learning–based techniques have been developed in recent years.
Misbah Ahmad, Imran Ahmed, Fakhri Alam Khan, Fawad Qayum, Hanan Aljuaid   +4 more
doaj   +1 more source

Detic-Track: Robust Detection and Tracking of Objects in Video

2022 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 2022
The automatic detection and tracking of objects in a video is crucial for many video understanding tasks. We propose a novel deep learning based algorithm for object detection and tracking, which is able to detect more than 1,000 object classes and tracks them robustly, even for challenging content. The robustness of the tracking is due to the usage of
openaire   +2 more sources

Movement Disorders in Aicardi–Goutières Syndrome and Response to Immunomodulation

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT This study characterizes movement disorders and treatment responses in seven children with Aicardi–Goutières syndrome (AGS). We retrospectively evaluated motor phenotypes, neuroimaging, and interferon signatures in patients treated with baricitinib or anifrolumab. Spasticity affected all patients, while dystonia was present in 4/7.
Enrique Gonzalez Saez‐Diez, Monica Ferrer Socorro, Kathryn Yang, Nicole Battaglia, Zainab Zaman, Mariko Bennett, Adeline Vanderver, Pui Y. Lee, Lauren A. Henderson, Milena M. Andzelm, Darius Ebrahimi‐Fakhari   +10 more
wiley   +1 more source

B-SOiD, an open-source unsupervised algorithm for identification and fast prediction of behaviors

Nature Communications, 2021
The study of naturalistic behaviour using video tracking is challenging. Here the authors develop a system, B-SOiD which allows automated behavioural tracking and segmentation of video of movements tested in mice, flies and humans.
Alexander I. Hsu, Eric A. Yttri
doaj   +1 more source

Increasing Compression Ratio of Low Complexity Compressive Sensing Video Encoder with Application-Aware Configurable Mechanism

, 2013
With the development of embedded video acquisition nodes and wireless video surveillance systems, traditional video coding methods could not meet the needs of less computing complexity any more, as well as the urgent power consumption.
Luo, Li, Qiao, Fei, Yang, Huazhong, Yu, Shuang   +3 more
core   +1 more source

Evaluation of Digital Technologies for Home‐Based Assessment in People With Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller, Vanessa Vallejo, Mónica Povedano Panadés, Orla Hardiman, Véronique Danel‐Brunaud, Senda Ajroud‐Driss, Philippe Couratier, Jeremy Shefner, Anna Gokey, Mike DiCesare, Erin Lennox, Jens Praestgaard, Lucie Brujin, Peggy Allred, Ram Miller   +14 more
wiley   +1 more source

Group Tracking for Video Monitoring Systems: A Spatio-Temporal Query Processing Approach

IEEE Access, 2023
Recently, many video monitoring systems utilize deep learning technologies to recognize locations and trajectories of people in video data. In video monitoring systems, a fast discovery of human groups is an important task for several applications, for ...
Hyunsik Yoon, Dalsu Choi, Yon Dohn Chung
doaj   +1 more source

Tracking and Modeling People in Video Sequences [PDF]

Computer Vision and Image Understanding, 2001
Summary: Tracking and modeling people from video sequences has become an increasingly important research topic, with applications including animation, surveillance, and sports medicine. In this paper, we propose a model-based 3-D approach to recovering both body shape and motion.
Ralf Plänkers, Pascal Fua
openaire   +1 more source