Cargando…
Intelligent Wearable Devices Enabled Automatic Vehicle Detection and Tracking System with Video-Enabled UAV Networks Using Deep Convolutional Neural Network and IoT Surveillance
The discipline of computer vision is becoming more popular as a research subject. In a surveillance-based computer vision application, item identification and tracking are the core procedures. They consist of segmenting and tracking an object of interest from a sequence of video frames, and they are...
Autores principales: | JayaSudha, A. R, Dadheech, Pankaj, Prasad, K. Ramalingeswara, Hemalatha, S., Sharma, Meghna, Jamal, Sajjad Shaukat, Krah, Daniel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979704/ https://www.ncbi.nlm.nih.gov/pubmed/35388322 http://dx.doi.org/10.1155/2022/2592365 |
Ejemplares similares
-
Robust Trajectory and Resource Optimization in UAV-Enabled IoT Networks under Probabilistic LoS Channel in Presence of Jammers
por: Ji, Zhi, et al.
Publicado: (2022) -
Enabling Virtual AAA Management in SDN-Based IoT Networks †
por: Molina Zarca, Alejandro, et al.
Publicado: (2019) -
A Deep Learning-Based Intrusion Detection System for MQTT Enabled IoT
por: Khan, Muhammad Almas, et al.
Publicado: (2021) -
WPAN and IoT Enabled Automation to Authenticate Ignition of Vehicle in Perspective of Smart Cities
por: Gehlot, Anita, et al.
Publicado: (2021) -
Autonomous Vehicles Enabled by the Integration of IoT, Edge Intelligence, 5G, and Blockchain
por: Biswas, Anushka, et al.
Publicado: (2023)