Spatio-temporal feature encoding for traffic accident detection in VANET environment
Z Zhou, X Dong, Z Li, K Yu, C Ding… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In the Vehicular Ad hoc Networks (VANET) environment, recognizing traffic accident events
in the driving videos captured by vehicle-mounted cameras is an essential task. Generally …
in the driving videos captured by vehicle-mounted cameras is an essential task. Generally …
Intelligent video anomaly detection and classification using faster RCNN with deep reinforcement learning model
RF Mansour, J Escorcia-Gutierrez, M Gamarra… - Image and Vision …, 2021 - Elsevier
Recently, intelligent video surveillance applications have become essential in public
security by the use of computer vision technologies to investigate and understand long video …
security by the use of computer vision technologies to investigate and understand long video …
Towards the design of vision-based intelligent vehicle system: methodologies and challenges
DK Dewangan, SP Sahu - Evolutionary Intelligence, 2023 - Springer
Rapid growth in technology has changed the way humans live. Ongoing development in the
automobile industry is creating intelligent vehicles and this mode of transportation will assist …
automobile industry is creating intelligent vehicles and this mode of transportation will assist …
Energy efficient optimal routing for communication in VANETs via clustering model
M Elhoseny, K Shankar - Emerging technologies for connected internet of …, 2020 - Springer
Abstract Vehicular Ad Hoc Network (VANET) is a kind of extraordinary remote ad hoc
network, which has high node portability and quick topology changes. Clustering is a system …
network, which has high node portability and quick topology changes. Clustering is a system …
An automated deep learning based anomaly detection in pedestrian walkways for vulnerable road users safety
Anomaly detection in pedestrian walkways is an important research topic, commonly used to
improve the safety of pedestrians. Due to the wide utilization of video surveillance systems …
improve the safety of pedestrians. Due to the wide utilization of video surveillance systems …
Computational intelligence-based harmony search algorithm for real-time object detection and tracking in video surveillance systems
Recently, video surveillance systems have gained significant interest in several application
areas. The examination of video sequences for the detection and tracking of objects remains …
areas. The examination of video sequences for the detection and tracking of objects remains …
Multimodal biometric authentication system using deep learning method
SS Sengar, U Hariharan… - … Conference on Emerging …, 2020 - ieeexplore.ieee.org
For specific identification process, Identity Management details an ailment of supplying
authorized owners with secure and easy admittance to information and solutions. For …
authorized owners with secure and easy admittance to information and solutions. For …
A hybrid deep network based approach for crowd anomaly detection
In this paper, we present a hybrid deep network based approach for crowd anomaly
detection in videos. For improved performance, the proposed approach exploits deep and …
detection in videos. For improved performance, the proposed approach exploits deep and …
Future frame prediction based on generative assistant discriminative network for anomaly detection
Anomaly detection plays an important role in intelligent surveillance and has attracted
increasing attention from researchers in recent years. It is generally regarded as …
increasing attention from researchers in recent years. It is generally regarded as …
Pulmonary diffuse airspace opacities diagnosis from chest X-ray images using deep convolutional neural networks fine-tuned by whale optimizer
X Wang, C Gong, M Khishe, M Mohammadi… - Wireless Personal …, 2022 - Springer
The early diagnosis and the accurate separation of COVID-19 from non-COVID-19 cases
based on pulmonary diffuse airspace opacities is one of the challenges facing researchers …
based on pulmonary diffuse airspace opacities is one of the challenges facing researchers …