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Front Matter: Volume 9301

2014 International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition  
The CID Number appears on each page of the manuscript. The complete citation is used on the first page, and an abbreviated version on subsequent pages.  ...  The last two digits indicate publication order within the volume using a Base 36 numbering system employing both numerals and letters.  ...  of the solar small scale features [9301-162] 9301 2Y A multi-sensor image fusion algorithm based on region-based selection and IHS transform [9301-163] 9301 2Z Robust and fast license plate detection  ... 
doi:10.1117/12.2180626 fatcat:yty4lao3fvfrzcwstco3pls5ja

Author Index

2021 2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)  
Bi, Xinjie Visibility Graph based Feature Extraction for Fault Diagnosis of Rolling Bearings [570256] Bin, Jie Optimization Method of Virtual Sand Table Background Server Based on Unity 3D [571175] C  ...  Detection Based on Self Organizing Immune Network [571146] Li, Lianfeng A State-of-Health Estimation Method of Lithium-ion Batteries using ICA and SVM [570413] Li, Liangbo A New Method of Multi-feature  ...  Method Based on Entropy Feature Fusion [570232] Rolling Bearing Fault Diagnosis Method Based on LMD Entropy Feature Fusion [570233] Yoshimatsu, Shogo Research on Inspection and Diagnosis Robots for Plant  ... 
doi:10.1109/phm-nanjing52125.2021.9612757 fatcat:h4xp5wbdvjdpvmsri2dktwupbi

Table of contents

2018 2018 14th IEEE International Conference on Signal Processing (ICSP)  
doi:10.1109/icsp.2018.8652480 fatcat:elhxwghl3zbdflbxblxafw2f7i

Gesture Recognition Algorithm based on Multi-scale Feature Fusion in RGB-D Images

Sun Ying, yaoqing weng, Luo Bowen, gongfa li, Tao Bo, disi chen, du jiang
2020 IET Image Processing  
To perform robust recognition under the conditions of illumination change, background clutter, rapid movement, and partial occlusion, an algorithm based on multi-level feature fusion of two-stream convolutional  ...  At the same time, data enhancement is performed on the training set and test set. Then, a model of multi-level feature fusion of a two-stream convolutional neural network is established and trained.  ...  D20191105); the National Defense Pre-Research Foundation of Wuhan University of Science and Technology (grant no.  ... 
doi:10.1049/iet-ipr.2020.0148 fatcat:xm55n4xj3ffajc65jb6momcuve

Enabling Pedestrian Safety using Computer Vision Techniques: A Case Study of the 2018 Uber Inc. Self-driving Car Crash [article]

Puneet Kohli, Anjali Chadha
2018 arXiv   pre-print
The decision to allow self-driving vehicles operate on our roads carries great weight. This has been a hot topic of debate between policy-makers, technologists and public safety institutions.  ...  The recent Uber Inc. self-driving car crash, resulting in the death of a pedestrian, has strengthened the argument that autonomous vehicle technology is still not ready for deployment on public roads.  ...  Multi-Exposure Fusion Framework Ying et al. [74] proposed a new Retinex based model which uses a dual-exposure fusion framework to enhance constrast and lightness of images.  ... 
arXiv:1805.11815v1 fatcat:b6j2xmorz5cofowgf3mlay3thu

Spoofing detection on adaptive authentication System‐A survey

Hind Baaqeel, Sunday Olatunji
2021 IET Biometrics  
In this work, the authors will carry out a systematic literature review by conducting a comparative study on state-of-the-art solutions for spoofing detection on adaptive authentication systems.  ...  Thus, the authors aim to encourage researchers to develop more robust adaptive solutions to overcome the identified gaps in this research.  ...  [25] have proposed a self-trained model using graph-based techniques that can learn to adapt on its own.  ... 
doi:10.1049/bme2.12060 fatcat:rjaupc3cpzcg5nkipaqun65gjy

Sequence Multi-Labeling: A Unified Video Annotation Scheme With Spatial and Temporal Context

Yuanning Li, Yonghong Tian, Ling-Yu Duan, Jingjing Yang, Tiejun Huang, Wen Gao
2010 IEEE transactions on multimedia  
In SVM SML , a joint kernel is employed to model the feature-level and concept-level context relationships (i.e., the dependencies of concepts on the low-level features, spatial and temporal correlations  ...  Different from many video annotation paradigms working on individual shots, SML aims to predict a multi-label sequence for consecutive shots in a global optimization manner by incorporating spatial and  ...  Threshold is introduced in Algorithm 1 for approximation.  ... 
doi:10.1109/tmm.2010.2066960 fatcat:bzfkkyjykfecjnx4cvyp2skia4

IEEE Access Special Section Editorial: AI-Driven Big Data Processing: Theory, Methodology, and Applications

Zhanyu Ma, Sunwoo Kim, Pascual Martinez-Gomez, Jalil Taghia, Yi-Zhe Song, Huiji Gao
2020 IEEE Access  
As a result, a multifeature fusion clustering algorithm is proposed based on user attention with two main stages. In the first stage, a multi-feature fusion model is developed to evaluate keywords.  ...  With respect to the complex characteristics of different shots in varying length and content variation property, the article by Wu et al., ''Two stage shot boundary detection via feature fusion and spatial-temporal  ...  To solve the above problems, the article by Yang et al,, ''An outlier detection approach based on improved self-organizing feature map clustering algorithm,'' proposes a Neighbor Entropy Local Outlier  ... 
doi:10.1109/access.2020.3035461 fatcat:rt7ejtponrfexigie4cfpt7gd4

FASSD: A Feature Fusion and Spatial Attention-Based Single Shot Detector for Small Object Detection

Deng Jiang, Bei Sun, Shaojing Su, Zhen Zuo, Peng Wu, Xiaopeng Tan
2020 Electronics  
We propose a feature fusion and spatial attention-based single shot detector (FASSD) for small object detection.  ...  , as well as most improved algorithms based on SSD.  ...  Feature Fusion Methods Based on SSD SSD is a multi-scale single shot detector that-inspired by the idea of image pyramids-creates feature pyramids for multi-scale object detection.  ... 
doi:10.3390/electronics9091536 doaj:c25675b12a0a405e9da70f04a58cefd4 fatcat:6ua5w6btbva7xilcg3fylfrtue

Performance Evaluation of Regional Logistics Network Operation Based on Reverse Logistics Mode

Qiuping Ni, Yuanxiang Tang
2016 International Journal of Database Theory and Application  
Grey model based on set sequence (SGM) is proposed to analyze and process multi-stream time sequences constructed with sampled histograms in this paper.  ...  Consequently, a novel Shot-Boundary Detection method is put forward based on SGM and color histogram, which includes the following steps: (1) When a new video frame coming into the detection system, the  ...  Fu et al. proposed an adaptive shot boundary detection algorithm based on HSV space, which considered the characteristics of two shot transitions, used different data processing in cut and gradual transition  ... 
doi:10.14257/ijdta.2016.9.4.25 fatcat:5jmklakhe5hcrcjwpuy2dstc7u

Applied Multi-Dimensional Fusion

A. Mahmood, P. M. Tudor, W. Oxford, R. Hansford, J. D. B. Nelson, N. G. Kingsbury, A. Katartzis, M. Petrou, N. Mitianoudis, T. Stathaki, A. Achim, D. Bull (+4 others)
2007 Computer journal  
target detection and identification and a task based look at assessment metrics for fusion.  ...  In the course of this work it is intended to showcase the practical application of some of the best multi-dimensional fusion research in the United Kingdom.  ...  Acknowledgements: This work has been funded by the UK Data and Information Fusion Defence Technology Centre (DIF DTC) AMDF and Tracking cluster projects.  ... 
doi:10.1093/comjnl/bxm069 fatcat:pawouo7wynhj3by2lwcdtogx4q

A Survey of Change Detection Methods Based on Remote Sensing Images for Multi-Source and Multi-Objective Scenarios

Yanan You, Jingyi Cao, Wenli Zhou
2020 Remote Sensing  
Based on the survey, a general change detection framework, including change information extraction, data fusion, and analysis of multi-objective scenarios modules, is summarized.  ...  In order to sort out the development venation of urban change detection, we make an observation of the literatures on change detection in the last five years, which focuses on the disparate multi-source  ...  Acknowledgments: Thanks to the guidance of Intelligent Perception and Computing Teaching and Research Office in BUPT, and thanks to the editors for their suggestions for this article.  ... 
doi:10.3390/rs12152460 fatcat:itc5ixwgrffuzgzyj2yrycaree

Insulator Breakage Detection Based on Improved YOLOv5

Gujing Han, Min He, Mengze Gao, Jinyun Yu, Kaipei Liu, Liang Qin
2022 Sustainability  
This paper proposes an improved algorithm for insulator breakage detection based on YOLOv5: The ECA-Net (Efficient Channel Attention Network) attention mechanism is integrated into its backbone feature  ...  A bidirectional feature pyramid network is added to the feature fusion layer, and large-scale images with more original information are combined to effectively retain small target features.  ...  of 80, 40, 20, and 10, respectively, followed by feeding the four features into the dual-scale feature fusion network to better fuse the multi-scale features and improve the detection of large and small  ... 
doi:10.3390/su14106066 fatcat:tp2a4dzbabcg3igsykbjs7ojcm

A Comparative Review of Recent Few-Shot Object Detection Algorithms [article]

Leng Jiaxu, Chen Taiyue, Gao Xinbo, Yu Yongtao, Wang Ye, Gao Feng, Wang Yue
2021 arXiv   pre-print
Finally, we conclude with the current status of few-shot object detection, along with potential research directions for this field.  ...  Few-shot object detection, learning to adapt to the novel classes with a few labeled data, is an imperative and long-lasting problem due to the inherent long-tail distribution of real-world data and the  ...  The pipeline of feature fusion. (a) Dual Feature Aggregation; (b) Feature Fusion Network. Fig. 11 . 11 Fig. 11. The pipeline of variants of RNs [100].  ... 
arXiv:2111.00201v1 fatcat:preckuym7zarndm4yjc7n4k2oi

A Survey of Video Enhancement Techniques

Yunbo Rao, Leiting Chen
2012 Journal of Information Hiding and Multimedia Signal Processing  
The existing techniques of video enhancement can be classified into two categories: Self-enhancement and Contextbased fusion enhancement.  ...  Video enhancement is one of the most important and difficult components in video research.  ...  researchers present a wavelet domain adaptive threshold scheme.  ... 
dblp:journals/jihmsp/RaoC12 fatcat:dmzjpzryabervpive3sayvo3du
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