Results 41 to 50 of about 10,152,951 (240)

A Novel Ship-Tracking Method for GF-4 Satellite Sequential Images

Sensors, 2018
The geostationary remote sensing satellite has the capability of wide scanning, persistent observation and operational response, and has tremendous potential for maritime target surveillance.
Libo Yao, Yong Liu, You He
doaj   +1 more source

Online Multiple Object Tracking Using Spatial Pyramid Pooling Hashing and Image Retrieval for Autonomous Driving

Machines, 2022
Multiple object tracking (MOT) is a fundamental issue and has attracted considerable attention in the autonomous driving community. This paper presents a novel MOT framework for autonomous driving.
Hongjian Wei, Yingping Huang
doaj   +1 more source

Data association and occlusion handling for vision-based people tracking by mobile robots [PDF]

, 2010
This paper presents an approach for tracking multiple persons on a mobile robot with a combination of colour and thermal vision sensors, using several new techniques.
Achim J. Lilienthal, Bar-Shalom, Fehlman, Freund, Gordon, Grzegorz Cielniak, Isard, Mckenna, Muñoz Salinas, Ristic, Stone, Swain, Tom Duckett, Wren   +13 more
core   +2 more sources

Comprehensive Building Fire Risk Prediction Using Machine Learning and Stacking Ensemble Methods

Fire
Building fires pose a critical threat to life and property. Therefore, accurate fire risk prediction is essential for effective building fire prevention and mitigation strategies.
Seungil Ahn, Jinsub Won, Jangchoon Lee, Changhyun Choi   +3 more
doaj   +1 more source

Phenotype Tracking of Leafy Greens Based on Weakly Supervised Instance Segmentation and Data Association

Agronomy, 2022
Phenotype analysis of leafy green vegetables in planting environment is the key technology of precision agriculture. In this paper, deep convolutional neural network is employed to conduct instance segmentation of leafy greens by weakly supervised ...
Zhuang Qiang, Jingmin Shi, Fanhuai Shi
doaj   +1 more source

Unified bit-based probabilistic data association aided MIMO detection for high-order QAM constellations [PDF]

, 2011
A unified Bit-based Probabilistic Data Association (B-PDA) detection approach is proposed for Multiple-Input Multiple-Output (MIMO) systems employing high-order rectangular Quadrature Amplitude Modulation (QAM).
Hanzo, Lajos, Lv, Tiejun, Maunder, Robert G., Yang, Shaoshi   +3 more
core   +1 more source

Graph Convolution Neural Network-Based Data Association for Online Multi-Object Tracking

IEEE Access, 2021
In this paper, a graph convolutional network (GCN)-based multi-object tracking (MOT) algorithm, consisting of a module for extracting the initial features and a module for updating the features, that estimates the affinity between nodes is proposed.
Jimi Lee, Mira Jeong, Byoung Chul Ko
doaj   +1 more source

Deep Network Flow for Multi-Object Tracking

, 2017
Data association problems are an important component of many computer vision applications, with multi-object tracking being one of the most prominent examples.
Chandraker, Manmohan, Choi, Wongun, Schulter, Samuel, Vernaza, Paul   +3 more
core   +1 more source

Carcinomas and Carcinoid Tumors of the Lungs and Bronchi in Children and Adolescents: The EXPeRT Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Primary lung carcinomas and bronchial carcinoid tumors (BC) are very rare malignancies in childhood. While typical BC and mucoepidermoid carcinomas are mostly low‐grade, localized tumors with a more favorable prognosis than in adults, necessitating avoidance of overtreatment, adenocarcinomas of the lung are often diagnosed at advanced disease ...
Michael Abele, Calogero Virgone, Michaela Kuhlen, Sabine Irtan, Yves Reguerre, Malgorzata Krawczyk, Ewa Bien, Tal Ben‐Ami, Maja Cesen, Ricardo Lopez‐Almaraz, Andrea Ferrari, Gianni Bisogno, Dominik T. Schneider, Abbas Agaimy, Constantin Lapa, Hubert Ducou le Pointe, Rainer Claus, Catherine Daniel, Ines B. Brecht, Daniel Orbach   +19 more
wiley   +1 more source

Data-Efficient Decentralized Visual SLAM [PDF]

, 2017
Decentralized visual simultaneous localization and mapping (SLAM) is a powerful tool for multi-robot applications in environments where absolute positioning systems are not available.
Choudhary, Siddharth, Cieslewski, Titus, Scaramuzza, Davide   +2 more
core   +1 more source