A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Filters
A Trajectory Scoring Tool for Local Anomaly Detection in Maritime Traffic Using Visual Analytics
2021
ISPRS International Journal of Geo-Information
Preserved Fulltext
The amount of interpolation in subtrajectories is displayed together with scores so that users can use both their insight and the trip displayed on the map to determine if the score is reliable. ...
With the recent increase in the use of sea transportation, the importance of maritime surveillance for detecting unusual vessel behavior related to several illegal activities has also risen. ...
Each trajectory is segmented based on the spatial regions, creating one subtrajectory for each spatial region. ...
doi:10.3390/ijgi10060412
fatcat:ouj5pm62rneptmd2e7zvvopqvq
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Due to the limited space, we focus the analysis on several key areas, i.e. 2D and 3D object detection in perception, depth estimation from cameras, multiple sensor fusion on the data, feature and task ...
This is a survey of autonomous driving technologies with deep learning methods. ...
semantics (by joint stereo-LiDAR segmentation) other than texture information and train an AR model to predict future trajectories of traffic participants (vehicles) based on encoder-decoder and LSTM. ...
arXiv:2006.06091v3
fatcat:nhdgivmtrzcarp463xzqvnxlwq
An unsupervised approach for semantic place annotation of trajectories based on the prior probability
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Herein, we propose an unsupervised method denoted as UPAPP for the semantic place annotation of trajectories using spatiotemporal information. ...
Most existing methods rely on annotated or external data and require retraining following a change of region, thus preventing their large-scale applications. ...
Acknowledgments The authors would like to thank Professor Yanwei Chai from the School of Urban and Environmental Sciences, Peking University, for providing the trajectory data and activity logs. ...
arXiv:2204.09054v1
fatcat:ad6jsz2tgrhyrisbp7e3wnaeem
Sequential Point Clouds: A Survey
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Other Versions
This paper presents an extensive review of the deep learning-based methods for sequential point cloud research including dynamic flow estimation, object detection \& tracking, point cloud segmentation, ...
However, many of these applications (e.g. autonomous driving and robotic manipulation) are actually based on sequential point clouds (i.e. four dimensions) because the information of the static point cloud ...
The predicted trajectory and detected objects were associated with Hungarian algorithm in current frame, which can further update trajectory state in 3D Kalman Filter. ...
arXiv:2204.09337v2
fatcat:su7fdqd3xja53jg4zikqcpvoaa
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
This processing framework includes several steps, including video enhancement, video stabilization, semantic and incident segmentation, object detection and classification, trajectory extraction, speed ...
algorithms proposed for each step. ...
Jason Pacheco, Larry Head, and Junsuo Qu from their thoughtful comments on this paper. Special thanks go to Greg Leeming from Intel for his insightful comments and continued support of this project. ...
arXiv:2203.10939v1
fatcat:h4o5zghhhfezncn7luy56yjusm
Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
(i)landmark localization (ii) object detection; (iii) object tracking; (iv) registration on both 2D image and 3D image volumetric data (v) image segmentation; (vi) videos analysis; and (vii) other applications ...
We start with comprehending the theories of deep learning, reinforcement learning, and deep reinforcement learning. ...
One trajectory of some finite length τ is called an episode. ...
arXiv:2108.11510v1
fatcat:wkkqittwivbx5fpwg3nggcy7cm
Learning-Based Anomaly Detection and Monitoring for Swarm Drone Flights
2019
Applied Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
While the current practice of swarm flight typically relies on the operator's naked eyes to monitor health of the multiple vehicles, this work proposes a machine learning-based framework to enable detection ...
network classifier with one-dimensional convolution layers followed by fully connected multi-layer perceptron extracts the associated features and distinguishes the anomaly from normal conditions. ...
Research carried out kernel principal component analysis(KPCA)-based sensor anomaly detection using drone sensor signals [38] . ...
doi:10.3390/app9245477
fatcat:ucbyurpbzrhbjbog5vnszzibyi
Table of Contents
2020
2020 IEEE International Conference on Image Processing (ICIP)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
RECOGNITION BASED ON ......................................... ...
TEC-03.4: MDT: UNSUPERVISED MULTI-DOMAIN IMAGE-TO-IMAGE TRANSLATOR ......................................... 598 BASED ON GENERATIVE ADVERSARIAL NETWORKS <H /LQ .HUHQ )X 6KHQJJXL /LQJ 3HQJ &KHQJ 6LFKXDQ ...
REGULARISATION WITH A ............................................... ...
doi:10.1109/icip40778.2020.9191006
fatcat:3fkxl2sjmre2jkryewwo5mlahi
The role of respiration audio in multimodal analysis of movement qualities
2019
Journal on Multimodal User Interfaces
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Next, a set of features, computed from the value of synchronization, is used as an input to machine learning algorithms. ...
First, the value of synchronization between modalities is computed using the Event Synchronization algorithm. ...
unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes ...
doi:10.1007/s12193-019-00302-1
fatcat:3wa4hnhnsncb7nlzkbhu2ld7em
Big Mobility Data Analytics: Algorithms and Techniques for Efficient Trajectory Clustering
2020
2020 21st IEEE International Conference on Mobile Data Management (MDM)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Towards this direction, we propose a novel in-DBMS Sampling-based Sub Trajectory Clustering algorithm, namely S 2 T-Clustering, which is incorporated in a real MOD engine over an extensible DBMS (PostgreSQL ...
Joining trajectory datasets is not only the cornerstone of various trajectory cluster analysis methods, but it is also a significant operation in mobility data analytics with a wide range of applications ...
The trajectories have the same starting time and similar speed.
Figure 2 Figure 2 . 1 : 221 (a) An example of a raw trajectory and (b) an example of linear interpolation. ...
doi:10.1109/mdm48529.2020.00055
dblp:conf/mdm/Tampakis20
fatcat:yn3aoqxgtfde7ntdk6b57bcmni
A combined local and global motion estimation and compensation method for cardiac CT
2014
Medical Imaging 2014: Physics of Medical Imaging
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2014; you can also visit the original URL.
The file type is application/pdf.
cluster ensembles to combine a set of base unsupervised segmentations into an unified partition of the voxel-based data. ...
DEI detects small angular deflections in an x-ray beam, and is only sensitive to angular changes in one plane. ...
Spectra are then automatically classified as one of seven cell-types in prostate tissue in a matter of seconds. ...
doi:10.1117/12.2043492
fatcat:fyzpc5m6jbh7fjohqpdmtzkhte
Data Fusion in Earth Observation and the Role of Citizen as a Sensor: A Scoping Review of Applications, Methods and Future Trends
2022
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Reviewing the DF models, the majority of the selected articles followed a data-driven method with the traditional algorithms to still hold significant attention. ...
Approaches such as the "brute-force approach" and the super-resolution models indicate an effective way to overcome the spatio-temporal gaps and the so far reliance on commercial satellite sensors. ...
In clustering methods, unsupervised algorithms are leveraged, such as Density-based spatial clustering of applications with noise (DBSCAN) and K-means, whereas the third method finds centerlines and notes ...
doi:10.3390/rs14051263
fatcat:ffg4ulntnrdrxaknuydepyvelm
2020 Index IEEE Transactions on Industrial Informatics Vol. 16
2020
IEEE Transactions on Industrial Informatics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
End-Edge-Cloud Orchestrated Algorithms, Systems and Applications; TII July 2020 4788-4790 Jiang, J., see Jia, G., 1993-2002 Jiang, J., see Liu, L., 2072-2080 Jiang, J., see Zhang, X., TII Dec. 2020 ...
on Intelligent Clustering in Local Area Industrial IoT Systems; TII June 2020 3697-3707 Jia, S., see Chen, C., 1873-1884 Jia, W., see Wang, T., 2054-2062 Jia, W., see Lian, J., 1343-1351 Jia, W., see ...
., +, TII July 2020 4788-4790
Edge detection
A Hybrid Demosaicking Algorithm for Area Scan Industrial Camera Based
on Fuzzy Edge Strength and Residual Interpolation. ...
doi:10.1109/tii.2021.3053362
fatcat:blfvdtsc3fdstnk6qoaazskd3i
3D-ZeF: A 3D Zebrafish Tracking Benchmark Dataset
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The performance of the system is measured with respect to two detectors: a naive approach and a Faster R-CNN based fish head detector. The system reaches a MOTA of up to 77.6%. ...
In this work we present a novel publicly available stereo based 3D RGB dataset for multi-object zebrafish tracking, called 3D-ZeF. ...
Zebrafish can change their body pigmentation based on their environment, stress level, and more [23] . ...
arXiv:2006.08466v1
fatcat:tzhiwz43gzapjf4ynpo2lmhm4m
A posture sequence learning system for an anthropomorphic robotic hand
2004
Robotics and Autonomous Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Work in that area tackles the development of robust algorithms for motor control, motor learning, gesture recognition and visuo-motor integration. ...
The work is being done with the support of CYCIT, Spanish Research Agency, under the projects: DPI2001-0822 and DPI2002-04286-C2-02 Acknowledgments: Among many people who contributed to the robot system ...
To segment the human action in high-level operations, a simple algorithm based on changes in the grasping state has been implemented: a new operation is generated whenever a grasped object is released. ...
doi:10.1016/j.robot.2004.03.008
fatcat:fefnr5l7gnhnhaca5nw52f3kru
« Previous
Showing results 1 — 15 out of 111 results