Temporal shift and spatial attention-based two-stream network for traffic risk assessment

C Liu, Z Li, F Chang, S Li, J **e - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
On-board vision based traffic risk assessment is a challenging task for intelligent driving
systems, which has some special challenges including spatial-temporal feature extraction …

A machine learning-powered web application for accident severity detection

VD Chennupati, YV Reddy, BSK Kanth… - 2023 5th …, 2023 - ieeexplore.ieee.org
The severity of road accidents has been a major concern for transportation safety. Despite
various efforts to reduce accident rates, the inability to accurately predict and detect the …

[PDF][PDF] Towards Real-time Traffic Flow Estimation using YOLO and SORT from Surveillance Video Footage.

N Algiriyage, R Prasanna, K Stock, E Hudson-Doyle… - ISCRAM, 2021 - researchgate.net
Traffic emergencies and resulting delays cause a significant impact on the economy and
society. Traffic flow estimation is one of the early steps in urban planning and managing …

Feature fusion in multimodal emotion recognition system for enhancement of human-machine interaction

S Veni, R Anand, D Mohan… - IOP conference series …, 2021 - iopscience.iop.org
Emotion Recognition (ER) systems is very much important for interpersonal relationship.
Emotions are developed by some physiological changes. The straightforward of this effort is …

Ensemble model for driver distraction detection

S Subbulakshmi, AK Arathy… - 2023 4th IEEE Global …, 2023 - ieeexplore.ieee.org
Accidents on the road are frequently caused by distracted drivers, leading to severe injuries
and fatalities. Real-time driver attention detection and mitigation can reduce accidents and …

The Identification of Intersection Entrance Accidents Based on Autoencoder

Y Du, F Sun, F Jiao, B Liu, X Wang, P Zhao - Sustainability, 2023 - mdpi.com
Traffic collisions are one of the leading causes of traffic congestion. In the case of urban
intersections, traffic accidents can even result in widespread traffic paralysis. To solve this …

[PDF][PDF] Traffic surveillance video analytics: A concise survey

H Ghahremannezhad, C Liu, H Shi - Proc. 18th Int. Conf. Mach …, 2022 - researchgate.net
With the evolution of intelligent transportation systems, video data obtained from traffic
scenes has become one of the most beneficial sources of information. The recent advances …

Designing a Wearable Jacket for the Visually Impaired People

R Anand, RV Vardhan, KJ Kalyan… - 2022 6th International …, 2022 - ieeexplore.ieee.org
One of the most crucial components of each living thing is sight. It enables one to see what is
in their environment, including vital items like paths, barriers, and other things. But consider …

Automatic target detection in cluttered infrared imagery using background modeling approach

Y Khare, TV Chandran, A Ramesh… - … on Trends in …, 2022 - ieeexplore.ieee.org
Target detection is the primary purpose of a real-time visual surveillance system. However,
this is a challenging problem due to high variability in the appearance of targets and the …

Intelligent cctv footage analysis with sound source separation, object detection and super resolution

Y Khare, A Ramesh, V Chandran, S Veerasamy… - … : Proceedings of ICICIT …, 2022 - Springer
CCTV cameras are found everywhere nowadays and are used to monitor, secure, and
protect your property, or at the very least serves as intelligent CCTV footage analysis with …