CSI-F: A Human Motion Recognition Method Based on Channel-State-Information Signal Feature Fusion
J Niu, X He, B Fang, G Han, X Wang, J He - Sensors, 2024 - mdpi.com
The recognition of human activity is crucial as the Internet of Things (IoT) progresses toward
future smart homes. Wi-Fi-based motion-recognition stands out due to its non-contact nature …
future smart homes. Wi-Fi-based motion-recognition stands out due to its non-contact nature …
[PDF][PDF] HOG Ensembled Boosting Machine Learning Approach for Violent Video Classification
SG Jaiswal, SW Mohod… - Indian Journal …, 2023 - sciresol.s3.us-east-2.amazonaws …
Background: With the proliferation of machine learning and its applications in a variety of
spheres that are important to humans in their day-to-day lives, there is a pressing need for …
spheres that are important to humans in their day-to-day lives, there is a pressing need for …
Deep Learning-Driven Culvert Monitoring: A Novel Approach for Flash Flood Mitigation through Visual Blockage Analysis
BE Samuel, S Alghamdi, T Priya… - 2024 IEEE 9th …, 2024 - ieeexplore.ieee.org
The primary cause of urban flash floods is often cited as trash clogging culverts. Flash floods
can be avoided with the help of intelligent video analytic (IVA) methods that can extract …
can be avoided with the help of intelligent video analytic (IVA) methods that can extract …
Spatial-Temporal Information-Based Littering Action Detection in Natural Environment
CV Loc, LTK Thoa, TX Viet, TH Viet… - … Conference on Intelligent …, 2023 - Springer
A significant environmental problem in Vietnam and around the world is litter and garbage
left on the street. The illegal dumping of garbage can have negative consequences on the …
left on the street. The illegal dumping of garbage can have negative consequences on the …
[PDF][PDF] Leveraging Real-time Edge AI-Video Analytics to Detect and Prevent Threats in Sensitive Environments
A Bensakhria - 2023 - researchgate.net
Gun and knife-related crime is a serious issue in the UK that demands immediate action.
Current surveillance systems are limited in their ability to quickly identify potential threats in …
Current surveillance systems are limited in their ability to quickly identify potential threats in …
A Review of Deep Learning Based Video Action Recognition Techniques
M Zhu - Science and Technology of Engineering, Chemistry …, 2024 - deanfrancispress.com
Video action recognition is an important research direction in the field of computer vision
and pattern recognition, with extensive applications in intelligent video surveillance, human …
and pattern recognition, with extensive applications in intelligent video surveillance, human …