Results 71 to 80 of about 297,750 (279)

Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos

, 2017
Deep learning has been demonstrated to achieve excellent results for image classification and object detection. However, the impact of deep learning on video analysis (e.g.
Chen, Chen, Hou, Rui, Shah, Mubarak
core   +1 more source

Object Detection Techniques in Videos

International Journal of Innovative Technology and Exploring Engineering, 2019
Object detection in videos has increased its popularity because of its wider applications. It has gained more research attention now days as it is applicable in real time situations like pedestrian detection, anomaly detection, Self moving cars, sports, counting of people etc.
openaire   +1 more source

Vestibular Patient Journey: Insights From Vestibular Disorders Association (VeDA) Registry

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Vestibular symptoms impose a high burden of disability. Understanding real‐world diagnostic and treatment pathways can identify care gaps and guide interventions. We aimed to characterize symptom profiles, diagnostic trends, provider involvement, and treatment patterns in vestibular disorders.
Ali Rafati, Sami I. Nassar, Shaun A. Nguyen, Patricia L. Gerend, Michael C. Schubert, Michael T. Teixido, Frederick A. Godley, Joel A. Goebel, Cynthia A. Ryan, Habib G. Rizk, Amir Kheradmand   +10 more
wiley   +1 more source

A Novel Multiclass Object Detection Dataset Enriched With Frequency Data

IEEE Access
Video analysis has attracted the attention of many researchers because of the growing need for multimedia information retrieval for computer vision applications. Content based retrieval and object-based video retrieval are challenging because of the poor
Chethan Sharma, Shourojit Ghosh, K. B. Ajitha Shenoy, G. Poornalatha   +3 more
doaj   +1 more source

UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking

, 2020
In recent years, numerous effective multi-object tracking (MOT) methods are developed because of the wide range of applications. Existing performance evaluations of MOT methods usually separate the object tracking step from the object detection step by ...
Cai, Zhaowei, Chang, Ming-Ching, Du, Dawei, Lei, Zhen, Lim, Jongwoo, Lyu, Siwei, Qi, Honggang, Wen, Longyin, Yang, Ming-Hsuan   +8 more
core   +1 more source

Watch and Learn: Semi-Supervised Learning of Object Detectors from Videos

, 2015
We present a semi-supervised approach that localizes multiple unknown object instances in long videos. We start with a handful of labeled boxes and iteratively learn and label hundreds of thousands of object instances.
Hebert, Martial, Misra, Ishan, Shrivastava, Abhinav   +2 more
core   +1 more source

Multidimensional Profiling of MRI‐Negative Temporal Lobe Epilepsy Uncovers Distinct Phenotypes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Although hippocampal sclerosis (TLE‐HS) represents the most frequent cause of temporal lobe epilepsy (TLE), up to 30% of patients show no lesion on visual MRI inspection (TLE‐MRIneg). These cases pose diagnostic and therapeutic challenges and are underrepresented in surgical series.
Alice Ballerini, Alessia Casarini, Niccolò Biagioli, Laura Mirandola, Daniela Ballotta, Paul Summers, Simona Scolastico, Laura Madrassi, Maurilio Genovese, Marcella Malagoli, Gaetano Cantalupo, Giada Giovannini, Matteo Pugnaghi, Niccolò Orlandi, Laura Tassi, Valeria Cuccarini, Domenico Aquino, Elena Tartara, Fulvia Palesi, Giuseppe Didato, Paolo Vitali, the 3TLE Study Group, Roberta Di Giacomo, Fabio Doniselli, Federica Mazzi, Carlo Andrea Galimberti, Claudia A. M. Gandini Wheeler‐Kingshott, Stefano Meletti, Anna Elisabetta Vaudano   +28 more
wiley   +1 more source

Temporal Dynamic Graph LSTM for Action-driven Video Object Detection

, 2017
In this paper, we investigate a weakly-supervised object detection framework. Most existing frameworks focus on using static images to learn object detectors.
Gupta, Abhinav, Liang, Xiaodan, Wang, Xiaolong, Yeung, Dit-Yan, Yuan, Yuan   +4 more
core   +1 more source

Clinical Outcomes of SEEG‐Guided Radiofrequency Thermocoagulation in Children With Focal Drug‐Resistant Epilepsy: A Multicenter Real‐World Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) has emerged as a safe and effective minimally invasive treatment for children with drug‐resistant focal epilepsy. Although evidence from real‐world studies remains limited, numerous pediatric cases have demonstrated promising outcomes. This retrospective
Weitao Chen, Stéphane Jean, Weihong Liu, Yihai Dai, Xinrong Fang, Xiaoqiang Wei, Shan Chen, Shiwei Song   +7 more
wiley   +1 more source

Probabilistic Global Scale Estimation for MonoSLAM Based on Generic Object Detection

, 2017
This paper proposes a novel method to estimate the global scale of a 3D reconstructed model within a Kalman filtering-based monocular SLAM algorithm. Our Bayesian framework integrates height priors over the detected objects belonging to a set of broad ...
Hayet, Jean-Bernard, Sucar, Edgar
core   +1 more source