Results 1 to 10 of about 10,152,951 (240)

Hierarchical Network-Based Tracklets Data Association for Multiple Extended Target Tracking with Intermittent Measurements [PDF]

Sensors, 2023
The key issue of multiple extended target tracking is to differentiate the origins of the measurements. The association of measurements with the possible origins within the target’s extent is difficult, especially for occlusions or detection blind zones,
Kaiyi Jiang, Yiguo Li, Tianli Ma, Lin Li
doaj   +2 more sources

Motion-Perception Multi-Object Tracking (MPMOT): Enhancing Multi-Object Tracking Performance via Motion-Aware Data Association and Trajectory Connection [PDF]

Journal of Imaging
Multiple Object Tracking (MOT) aims to detect and track multiple targets across consecutive video frames while preserving consistent object identities.
Weijun Meng, Shuaipeng Duan, Sugang Ma, Bin Hu   +3 more
doaj   +2 more sources

A Closed-Form Error Model of Straight Lines for Improved Data Association and Sensor Fusing [PDF]

Sensors, 2018
Linear regression is a basic tool in mobile robotics, since it enables accurate estimation of straight lines from range-bearing scans or in digital images, which is a prerequisite for reliable data association and sensor fusing in the context of feature ...
Volker Sommer
doaj   +2 more sources

Deep Efficient Data Association for Multi-Object Tracking: Augmented with SSIM-Based Ambiguity Elimination [PDF]

Journal of Imaging
Recently, to address the multiple object tracking (MOT) problem, we harnessed the power of deep learning-based methods. The tracking-by-detection approach to multiple object tracking (MOT) involves two primary steps: object detection and data association.
Aswathy Prasannakumar, Deepak Mishra
doaj   +2 more sources

The digitization of the Brazilian national identity system: A descriptive and qualitative analysis of its information architecture

Data & Policy, 2022
The present paper, which composes a broader research agenda developed by Data Privacy Brasil Research Association, aims to conduct a descriptive and qualitative study of the Brazilian National Identity System through a data protection and data justice ...
Bruno Bioni, Marina Garrote, Marina Meira, Nathan Paschoalini   +3 more
doaj   +1 more source

Expert Consensus on Clinical Specimen Preservation and Biosafety Protection in the Context of Managing COVID-19 with Measures against Class B Infectious Diseases

Xiehe Yixue Zazhi, 2023
During the past three years, the national prevention and control policies for coronavirus disease 2019(COVID-19) have gone from'Class A control' to 'Class B control'.
Clinical Data and Biobank Committee of China Research Hospital Association, Guangdong Human Genetic Resource Biobanking and Applications Association   +1 more
doaj   +1 more source

A Python Package for Heart Rate Variability Analysis and Signal Preprocessing

Journal of Open Research Software, 2021
This paper presents 'hrv-analysis', a Python package for Heart Rate Variability (HRV) analysis. 'hrv-analysis' is an open-source package for the Python statistical computing environment, which supports a wide variety of time, frequency and non-linear HRV
Robin Champseix, Laurent Ribiere, Clément Le Couedic   +2 more
doaj   +1 more source

Learning to love ourselves again: Organizing Filipinx/a/o scholar-activists as antiracist public health praxis

Frontiers in Public Health, 2022
A critical component for health equity lies in the inclusion of structurally excluded voices, such as Filipina/x/o Americans (FilAms). Because filam invisibility is normalized, denaturalizing these conditions requires reimagining power relations ...
Erin Manalo-Pedro, Erin Manalo-Pedro, Andrea Mackey, Rachel A. Banawa, Rachel A. Banawa, Rachel A. Banawa, Neille John L. Apostol, Warren Aguiling, Warren Aguiling, Arleah Aguilar, Carlos Irwin A. Oronce, Carlos Irwin A. Oronce, Carlos Irwin A. Oronce, Melanie D. Sabado-Liwag, Melanie D. Sabado-Liwag, Megan D. Yee, Megan D. Yee, Roy Taggueg, Roy Taggueg, Adrian M. Bacong, Adrian M. Bacong, Ninez A. Ponce, Ninez A. Ponce, Ninez A. Ponce   +23 more
doaj   +1 more source

Robust and Explainable Semi-Supervised Deep Learning Model for Anomaly Detection in Aviation

Aerospace, 2022
Identifying safety anomalies and vulnerabilities in the aviation domain is a very expensive and time-consuming task. Currently, it is accomplished via manual forensic reviews by subject matter experts (SMEs).
Milad Memarzadeh, Ata Akbari Asanjan, Bryan Matthews   +2 more
doaj   +1 more source

Network Consistent Data Association [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016
Existing data association techniques mostly focus on matching pairs of data-point sets and then repeating this process along space-time to achieve long term correspondences. However, in many problems such as person re-identification, a set of data-points may be observed at multiple spatio-temporal locations and/or by multiple agents in a network and ...
Chakraborty, Anirban, Das, Abir, Roy-Chowdhury, Amit K   +2 more
openaire   +3 more sources