A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Filters
Video-based Smoky Vehicle Detection with A Coarse-to-Fine Framework
[article]
2022
arXiv
pre-print
Preserved Fulltext
Moreover, we present a new Coarse-to-fine Deep Smoky vehicle detection (CoDeS) framework for efficient smoky vehicle detection. ...
Automatic smoky vehicle detection in videos is a superior solution to the traditional expensive remote sensing one with ultraviolet-infrared light devices for environmental protection agencies. ...
Overview of our framework Due to the lack of smoky vehicle data, there are not any pure deep learning algorithms for smoky vehicle detection. ...
arXiv:2207.03708v1
fatcat:w6v45xuh7zhc7ciuhzkvweczve
Automatic Detection Method for Black Smoke Vehicles Considering Motion Shadows
2023
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2023; you can also visit the original URL.
The file type is application/pdf.
The superpixel segmentation algorithm effectively clusters similar pixels, facilitating the detection of trace amounts of black smoke emissions from motor vehicles. ...
The Y-MobileNetv3 model not only improves the accuracy of black smoke vehicle recognition but also meets the real-time detection requirements. ...
These methods include two-stage detection algorithms based on candidate windows and single-stage detection algorithms based on regression.
Figure 2 . 2 Figure 2. ...
doi:10.3390/s23198281
pmid:37837111
pmcid:PMC10574957
fatcat:awamjieflveppj6dho4ah6csmi
2019 6th International Conference on Systems and Informatics
2019
2019 6th International Conference on Systems and Informatics (ICSAI)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Great efforts have been made to improve the state of the art in the technologies for computer-based applications. ...
All the submitted manuscripts went through a rigorous review process, based on originality, technical quality, and presentation. ...
Detection and Region Alignment Smoky Vehicle Detection Algorithm Based On Improved Transfer Learning Optimal Path Planning Based on Hybrid Genetic-Cuckoo Search Algorithm Design and Operation of Low Speed ...
doi:10.1109/icsai48974.2019.9010230
fatcat:eovojg6yirhfhnmxzugrvzzc5a
Front Matter: Volume 10806
2018
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
. ▪ The last two digits indicate publication order within the volume using a Base 36 numbering system employing both numerals and letters. These two-number sets start with 00, 01, 02, 03, 04, ...
improved compressed sensing algorithm [10806-13]
10806 42
Smoky vehicle detection in surveillance video based on gray level co-occurrence matrix
[10806-45]
10806 43
Smoke detection in video using ...
for improving performance of fire control radar based on accumulation detection 10806 11 Moving object detection in videos from hand-held camera 10806 12 Forward vehicle detection method based on geometric ...
doi:10.1117/12.2510343
fatcat:maohjht2t5apneao4iivotwxey
An Explainable Deep Learning Framework for Detecting and Localising Smoke and Fire Incidents: Evaluation of Grad-CAM++ and LIME
2022
Machine Learning and Knowledge Extraction
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Grad-CAM++ and LIME algorithms improve the post hoc explainability of Xception and verify that it is learning features found in the critical locations of the image. ...
Artificial Intelligence promises to automate the detection of fire-related incidents. ...
Then, the authors employed transfer learning to improve the network's training and performance in detecting smaller fires. ...
doi:10.3390/make4040057
fatcat:cnpxp42hvzdkbmcdhkjwva2jgq
Vision-Based Detection of Low-Emission Sources in Suburban Areas Using Unmanned Aerial Vehicles
2023
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2023; you can also visit the original URL.
The file type is application/pdf.
The paper discusses the problem of detecting emission sources in a low buildings area using unmanned aerial vehicles. The problem was analyzed, and methods of solving it were presented. ...
Such a solution, although quite effective, is not very practical for the end user, but it enables the automatic generation of a comprehensive training set for classifiers based on deep neural networks. ...
However, most effective solutions are based on deep learning methods. ...
doi:10.3390/s23042235
pmid:36850833
pmcid:PMC9962226
fatcat:mvp5ghefsjavbc7hcyeeff67e4
Evaluation of Non-Classical Decision-Making Methods in Self Driving Cars: Pedestrian Detection Testing on Cluster of Images with Different Luminance Conditions
2021
Energies
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
This paper presents a flexible, simple detection system called Mask R-CNN, which works on top of the Faster R-CNN (Region Based Convolutional Neural Network) model. ...
To explore the environmental conditions, a pedestrian custom dataset based on Common Object in Context (COCO) is used. ...
Data Availability Statement: To explore the environmental conditions, a pedestrian custom dataset based on Common Object in Context (COCO) was used [55] [56] [57] . ...
doi:10.3390/en14217172
fatcat:pkfyual5qnftpnbbozn76vqofy
Colorization of Multispectral Image Fusion using Convolutional Neural Network approach
2023
International Journal on Recent and Innovation Trends in Computing and Communication
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2024; you can also visit the original URL.
The file type is application/pdf.
., The multi-band image data set comprises visual and infrared motion sequences with various military and civilian surveillance scenarios which include people that are stationary, walking or running, Vehicles ...
Color transfer based on closed and average super pixels [11, 29] .
A. ...
Using the image fusion strategy based on deep learning, an adaptive mechanism might be employed to supply weights to the model. ...
doi:10.17762/ijritcc.v11i1.10114
fatcat:vtefretazrarnkwkrbu7ni67m4
Visual Feature Learning on Video Object and Human Action Detection: A Systematic Review
2021
Micromachines
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Finally, a summarization of the video detection is represented, e.g., the video object and human action detection methods could be classified into frame-by-frame (frame-based) detection, extracting-key-frame ...
We mainly review and discuss the classic video detection methods with supervised learning. In addition, the frequently-used video object detection and human action recognition datasets are reviewed. ...
[93] uses signal processing methods to detect smoky vehicles on the road, such as Grey-Level Co-Occurrence Matrix (GLCM) [94] , Discrete Wavelet Transform (DWT) [95] . ...
doi:10.3390/mi13010072
pmid:35056238
pmcid:PMC8781209
fatcat:kdc5msiv2rd7zh7qlxymbpdk3y
Real-time image and video processing for advanced services on-board vehicles for passenger transport
2018
Real-Time Image and Video Processing 2018
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The paper exploits the video camera available on-board vehicles for public transport, such as trains, coaches, ferryboats, and so on, to implement advanced services for the passengers. ...
services such as: smoke detection, to give an early alarm in case of a fire, or people detection for people counting, or fatigue detection for the driver. ...
A fine-tuning of the algorithm parameters and an extensive dataset for learning and validate cases, in on-going to improve the accuracy of the detection. ...
doi:10.1117/12.2303918
fatcat:t2w346y6trdlfiyr7yn2uzvgja
Device Free Localisation Techniques in Indoor Environments
2019
Defence Science Journal
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
A target was detected by equipping a device using global positioning systems, radio frequency systems, ultrasonic frequency systems, etc. ...
The location estimation of a target for a long period was performed only by device based localisation technique which is difficult in applications where target especially human is non-cooperative. ...
Minimum detected output based on each link's fade level and RSS variance improved detection of links at the intersection of targets. ...
doi:10.14429/dsj.69.13214
fatcat:tzsuul2avnhnfk2cyvin7o4sfq
Fire-YOLO: A Small Target Object Detection Method for Fire Inspection
2022
Sustainability
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
For the detection of small targets, fire-like and smoke-like targets in forest fire images, as well as fire detection under different natural lights, an improved Fire-YOLO deep learning algorithm is proposed ...
Moreover, the algorithm proposed in this paper can also be applied to small target detection under other complicated situations. ...
Based on deep learning and the You Only Look Once (YOLO) algorithm, an Unmanned Aerial Vehicle (UAV) [1] is used to detect the fire situation, and more accurate results have been achieved than classical ...
doi:10.3390/su14094930
doaj:df7aa751b46c4ffd9cbbde497ea2ae4d
fatcat:3oqhf4pm3jhsjb2ne5kv652k7e
Development and Application of Fire Video Image Detection Technology in China's Road Tunnels
2019
Civil Engineering Journal
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
This paper aims to review the development and application of fire video image detection (VID) technology and their impact on fire safety in China's road tunnels. ...
algorithms, hardware and integration with other tunnel systems. ...
Yu, Mei and Zhang proposed a real-time detection algorithm to improve the detection reliability by detecting both flame and smoke at the same time [57] . ...
doi:10.28991/cej-2019-03091221
fatcat:fqsoejkmi5hgdahpyvv67lifcy
A Study on Recent Developments and Issues with Obstacle Detection Systems for Automated Vehicles
2020
Sustainability
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Obstacle detection systems play a crucial role in implementing and deploying autonomous driving on our roads and city streets. ...
This paper reviews current developments and discusses some critical issues with obstacle detection systems for automated vehicles. ...
However, the logical principle above is based on the relationship with the internal system when GPS signal is accessible, which makes the system to be self-learning and self-trained. ...
doi:10.3390/su12083281
doaj:1c633666b19b41408652a1fec4ee9d81
fatcat:tggdfsav2jcylofnoeafoaqave
Sensing and Artificial Perception for Robots in Precision Forestry: A Survey
2023
Robotics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2023; you can also visit the original URL.
The file type is application/pdf.
Based on this analysis, we put forward a roadmap to address the outstanding challenges in its respective scientific and technological landscape, namely the lack of training data for perception models, ...
Regardless, this has proven to be one of the most difficult research areas in robotics and has yet to be robustly solved. ...
Improving Learning: Data Augmentation and Transfer Learning The performance of machine learning (ML) models, deep learning models, in particular, depends on the quality, quantity, and relevance of training ...
doi:10.3390/robotics12050139
fatcat:gezkon2ivvgalkybgvenmf2emu
« Previous
Showing results 1 — 15 out of 166 results