Deep learning for trajectory data management and mining: A survey and beyond

W Chen, Y Liang, Y Zhu, Y Chang, K Luo… - arxiv preprint arxiv …, 2024 - arxiv.org
Trajectory computing is a pivotal domain encompassing trajectory data management and
mining, garnering widespread attention due to its crucial role in various practical …

Analysis of anomaly detection in surveillance video: recent trends and future vision

R Raja, PC Sharma, MR Mahmood… - Multimedia Tools and …, 2023 - Springer
Video Surveillance (VS) systems are popular. For enhancing the safety of public lives as
well as assets, it is utilized in public places like marketplaces, hospitals, streets, education …

Intelligent dual stream CNN and echo state network for anomaly detection

W Ullah, T Hussain, ZA Khan, U Haroon… - Knowledge-Based …, 2022 - Elsevier
Traditional video surveillance systems detect abnormal events via human involvement,
which is exhausting and erroneous, while computer vision-based automated anomaly …

Privacy-preserving generation and publication of synthetic trajectory microdata: A comprehensive survey

JW Kim, B Jang - Journal of Network and Computer Applications, 2024 - Elsevier
The generation of trajectory data has increased dramatically with the advent and
widespread use of GPS-enabled devices. This rich source of data provides invaluable …

Safety: A spatial and feature mixed outlier detection method for big trajectory data

Y Wu, J Fang, W Chen, P Zhao, L Zhao - Information Processing & …, 2024 - Elsevier
Trajectories, as sequential data records generated by continuously collecting sample points
from positioning sensors, have the capability to effectively depict the motion patterns of …

Augmenting the Robustness and efficiency of violence detection systems for surveillance and non-surveillance scenarios

M Shoaib, A Ullah, IA Abbasi, F Algarni… - IEEE Access, 2023 - ieeexplore.ieee.org
Violence detection holds immense significance in ensuring public safety, security, and law
enforcement in various domains. With the increasing availability of video data from …

[HTML][HTML] Mipo: How to detect trajectory outliers with tabular outlier detectors

J Yang, X Tan, S Rahardja - Remote sensing, 2022 - mdpi.com
Trajectory outlier detection is one of the fundamental data mining techniques used to
analyze the trajectory data of the Global Positioning System. A comprehensive literature …

Wooden spoon crack detection by prior knowledge-enriched deep convolutional network

L Li, Z Li, H Han, L Yang, X Feng, F Roli… - Engineering Applications of …, 2023 - Elsevier
Since the outbreak of COVID-19, in order to reduce people's contact, the takeaway business
has been developed rapidly, bringing a large demand for disposable and degradable …

ARDE-N-BEATS: an evolutionary deep learning framework for urban traffic flow prediction

X Zhang, Z Zhao, J Li - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Accurate and reliable traffic flow prediction is difficult due to the highly nonlinear, complex,
and stochastic natures of urban traffic flow data, but its solutions are critically important for …

[HTML][HTML] Detecting metro service disruptions via large-scale vehicle location data

N Zhang, DJ Graham, P Bansal, D Hörcher - Transportation Research Part …, 2022 - Elsevier
Urban metro systems are often affected by disruptions such as infrastructure malfunctions,
rolling stock breakdowns and accidents. The crucial prerequisite of any disruption analytics …