scholarly journals Correction: Qiao, D. et al. M3C: Multimodel-and-Multicue-Based Tracking by Detection of Surrounding Vessels in Maritime Environment for USV. Electronics 2019, 8, 723

Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 984
Author(s):  
Dalei Qiao ◽  
Guangzhong Liu ◽  
Jun Zhang ◽  
Qiangyong Zhang ◽  
Gongxing Wu ◽  
...  

The authors wish to make the following corrections to our published paper [...]


Electronics ◽  
2019 ◽  
Vol 8 (7) ◽  
pp. 723 ◽  
Author(s):  
Qiao ◽  
Liu ◽  
Zhang ◽  
Zhang ◽  
Wu ◽  
...  

It is crucial for unmanned surface vessels (USVs) to detect and track surrounding vessels in real time to avoid collisions at sea. However, the harsh maritime environment poses great challenges to multitarget tracking (MTT). In this paper, a novel tracking by detection framework that integrates the multimodel and multicue (M3C) pipeline is proposed, which aims at improving the detection and tracking performance. Regarding the multimodel, we predicted the maneuver probability of a target vessel via the gated recurrent unit (GRU) model with an attention mechanism, and fused their respective outputs as the output of a kinematic filter. We developed a hybrid affinity model based on multi cues, such as the motion, appearance, and attitude of the ego vessel in the data association stage. By using the proposed ship re-identification approach, the tracker had the capability of appearance matching via metric learning. Experimental evaluation of two public maritime datasets showed that our method achieved state-of-the-art performance, not only in identity switches (IDS) but also in frame rates.



Author(s):  
Alexandru Pandele ◽  
Antonia Croitoru ◽  
Andrei Hulea ◽  
Costel Cherciu ◽  
Alina Radutu ◽  
...  
Keyword(s):  


2005 ◽  
Author(s):  
Michael Angove
Keyword(s):  


2005 ◽  
Author(s):  
G. C. Gilbreath ◽  
W. S. Rabinovich ◽  
C. I. Moore ◽  
H. R. Burris ◽  
R. Mahon ◽  
...  


Author(s):  
Prasanna Lakshmi Kompalli ◽  
Padma Vallakati ◽  
Ganapathi Raju Nadimpalli ◽  
Vinod Mahesh Jain ◽  
Samuel Annepogu

Background: Road accidents are major cause of deaths worldwide. This is enormously due to fatigue, drowsiness and microsleep of the drivers. This don’t just risk the life of driver and copassengers but also a great threat to the vehicles and humans moving around that vehicle. Methods: Research, online content and previously published paper related to drowsiness are reviewed. Using the facial landmarks DAT file, the prototype will locate and get the eye coordinates and it will calculate Eye Aspect Ratio (EAR). The EAR indicates whether the driver is drowsy or not based on the result various sensors gets activated such as Alarm generator, LED Indicators, LCD message scroll, message sent to owner and engine gets locked. Results: The prototype is able to locate eyes in the frame and detect whether the person is sleepy or not. Whenever the person is feeling drowsy alarm gets generated in the cabinet on further if the person is feeling drowsy, LED indicators will start glowing, messaging will be scrolling at the rear part of vehicle so that other vehicles and humans gets cautioned and vehicle slows down and engine gets locked. Conclusion: This prototype will help in reduction of road accidents due to human intervention. It is not only helpful to the person who install it in their vehicles but also for the other vehicles and humans moving around it.



2020 ◽  

Ibuprofen is a long lasting non-steroidal anti-inflammatory drugs (NSAIDs) and still represents one of the most diffused analgesics around the world. It has an interesting story started over 50 years ago. In this short comment to an already published paper, the authors try to focus some specific important point. On top, they illustrate the recent, confusing and fake assertion on the potentially dangerous influence that ibuprofen could have, increasing the risk of Coronavirus infection. This is also better illustrated in a previously published paper, where the readers could find more clear responses to eventual doubts.



Author(s):  
Luke Rosenberg ◽  
Simon Watts ◽  
Stephen Bocquet
Keyword(s):  


2021 ◽  
Vol 22 (2) ◽  
pp. 668
Author(s):  
Fu Ou-Yang ◽  
I-Hsuan Tsai ◽  
Jen-Yang Tang ◽  
Ching-Yu Yen ◽  
Yuan-Bin Cheng ◽  
...  

The authors would like to make corrections to their published paper [...]



2021 ◽  
Vol 13 (12) ◽  
pp. 6741
Author(s):  
Małgorzata Zachara-Szymańska
Keyword(s):  

The authors would like to make the following corrections about the published paper [...]



Healthcare ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 817
Author(s):  
Jacopo Profili ◽  
Emilie L. Dubois ◽  
Dimitrios Karakitsos ◽  
Lucas A. Hof

The authors would like to make the following corrections to the published paper [...]



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