Fire sensor and surveillance camera-based GTCNN for fire detection system

P Sridhar, SK Thangavel, L Parameswaran… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Fire accident is a disaster that can happen anytime anywhere due to accidental causes. In
existing works, sensor-and computer vision-based approaches have been used for …

Multimodal attention-based transformer for video captioning

H Munusamy - Applied Intelligence, 2023 - Springer
Video captioning is a computer vision task that generates a natural language description for
a video. In this paper, we propose a multimodal attention-based transformer using the …

A video analytics based solution for detecting the attention level of the students in class rooms

N Krishnnan, S Ahmed, T Ganta… - … Conference on Cloud …, 2020 - ieeexplore.ieee.org
Classroom surveillance, using video cameras, affords enhanced understanding of student
behavior. This paper proposes a new algorithmic framework to evaluate the attention level of …

Micro-expression recognition based on deep capsule adversarial domain adaptation network

Z Xie, L Shi, S Cheng, J Fan… - Journal of Electronic …, 2022 - spiedigitallibrary.org
Micro-expression (ME), which reveals the genuine feelings and motives within human
beings, attracts considerable attention in the field of automatic affective recognition. The …

An evolutionary computing approach to solve object identification problem for fall detection in computer vision-based video surveillance applications

KV Sree, G Jeyakumar - Recent advances on memetic algorithms and its …, 2020 - Springer
This chapter proposes to present the design and development of an evolutionary
computation (EC) based system which solves two interesting real-world problems. In the first …

Empirical comparison of different key frame extraction approaches with differential evolution based algorithms

KT Abraham, M Ashwin, D Sundar, T Ashoor… - Intelligent Systems …, 2018 - Springer
Key frame extraction is an integral part of video analytics. The extracted key frames are used
for video summarization and information retrieval. There exist many approaches for solving …

Multimodal context extraction for virtual meetings

H Kothari, U Jain, K Devadkar - 2022 Second International …, 2022 - ieeexplore.ieee.org
During the pandemic situation the use of online meetings has increased drastically and in
the education and corporate industry it has been a key way to communicate and interact …

[PDF][PDF] Real-time Building Fire Detection and Segmentation in Video using Convolutional Neural Networks with Gaussian threshold approach

P Sridhar, S Kumar, L Parameswaran… - 2022 - assets-eu.researchsquare.com
Computer vision-based fire flame detection system has recently begun to replace traditional
fire detection systems. The conventional imaging-based system uses color models and …

Synthesizing and Manipulating Natural Videos Using Image-to-Image Translation

R Yeh, A Loui - 2021 IEEE Western New York Image and …, 2021 - ieeexplore.ieee.org
Unpaired video-to-video translation is the mapping of elements of one video to another
generated video using a neural network trained on unpaired data. While many methods …

A Genetic Algorithm Framework to Solve Two-Dimensional Maze Problem

KH Krishnaa, KV Jonathan, KH Saketh, A Tadi… - Proceedings of 3rd …, 2022 - Springer
Genetic algorithm (GA), which is an instance under the repository of evolutionary algorithm
(EA), follows the problem-solving approach inspired from biological activities like mutation …