2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC)最新文献_第3页

Online Multi-object Tracking with Siamese Network and Optical Flow 基于Siamese网络和光流的在线多目标跟踪

2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2020-07-01 DOI: 10.1109/ICIVC50857.2020.9177480

Jiating Jin, Xingwei Li, Xinlong Li, Shaojie Guan

引用次数: 6

Application of Transfer Learning in Infrared Pedestrian Detection 迁移学习在红外行人检测中的应用

2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2020-07-01 DOI: 10.1109/ICIVC50857.2020.9177438

Jinda Hu, Yanshun Zhao, Xindong Zhang

{"title":"Application of Transfer Learning in Infrared Pedestrian Detection","authors":"Jinda Hu, Yanshun Zhao, Xindong Zhang","doi":"10.1109/ICIVC50857.2020.9177438","DOIUrl":"https://doi.org/10.1109/ICIVC50857.2020.9177438","url":null,"abstract":"Object detection is one of the most important and challenging branches of computer vision, which has been widely applied in our life. With the rapid development of deep learning networks for detection tasks, the performance of object detectors has been greatly improved. However, the lack of large labeled dataset obstructs the usage of convolutional neural networks (CNN) for detecting in thermal infrared images. Most existing dataset focus on visible images, while thermal infrared images are helpful for detection even in a dark environment. To address this problem, we propose the use of transfer learning to improve the accuracy of infrared pedestrian detection. We pretrain a convolutional neural network on a large dataset (which contains 1.8 million images with 654 categories), then use the convolutional neural network as a fixed feature extractor for the task of infrared pedestrian detection. The average precision of detection using ImageNet pretrained model alone is 83.34%. By adding ours pretrained model, the average precision has improved to 84.78%. We believe that the method of transfer learning can be extended to other infrared detection applications and achieve other breakthroughs.","PeriodicalId":6806,"journal":{"name":"2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC)","volume":"26 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79358495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

The Arteriovenous Classification in Retinal Images by U-net and Tracking Algorithm 基于U-net和跟踪算法的视网膜图像动静脉分类

2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2020-07-01 DOI: 10.1109/ICIVC50857.2020.9177446

Peitong Li, Qiuju Deng, Huiqi Li

引用次数: 1

GalaDC: Galaxy Detection and Classification Tool GalaDC:星系检测与分类工具

2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2020-07-01 DOI: 10.1109/ICIVC50857.2020.9177483

Erqian Cai

{"title":"GalaDC: Galaxy Detection and Classification Tool","authors":"Erqian Cai","doi":"10.1109/ICIVC50857.2020.9177483","DOIUrl":"https://doi.org/10.1109/ICIVC50857.2020.9177483","url":null,"abstract":"Image is one of the core concerns in modern Astronomy. Telescopes capture photons emitted from sources deep inside the universe, forming images or spectrums which then be analyzed by astronomers. In the recent decades, people have built large amount of land-based and space-based telescopes which are observing light covering a wide range of wave length. The amount of the imaging data increased rapidly. For a typical integral field unit (also called the IFU) telescope, 60 GB of data is generated each night. The requirements of real time processing of these data raised challenges to astronomers. These requirements necessitate the developing of efficient computer algorithms. One important part of these requirements is the classification of galaxies. The morphologies of the galaxies can contribute in many aspects of the astronomical studies. The distribution of galaxies of different morphologies (for example ecliptic and spiral) can reflect certain large scale characteristic of the universe, such as the evolution of the galaxies, and the distribution of Hydrogen in the universe. In this work, we train a neural network and use a series of computer vision algorithms to build a Galaxy Detection and Classification Tool (GalaDC), which can detect and classify galaxies with high efficiency and accuracy. GalaDC is user friendly, supports batch processing, and is suitable for handling images which consists of multiple galaxies and do statistical analysis.","PeriodicalId":6806,"journal":{"name":"2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC)","volume":"30 1","pages":"261-266"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78161441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Parallax-Based Color Correction in Image Stitching 图像拼接中基于视差的色彩校正

2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2020-07-01 DOI: 10.1109/ICIVC50857.2020.9177451

Chao Wang, Zeyu Gao, Qiankun Lu

引用次数: 0

Adaptive Chaotic Shuffled Frog Leaping Algorithm for QoS Routing in Wireless Image Sensor Networks 无线图像传感器网络QoS路由的自适应混沌青蛙跳跃算法

2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2020-07-01 DOI: 10.1109/ICIVC50857.2020.9177466

Jie Zhou, Rui Yang, Mengying Xu

引用次数: 0

Research on Dual Anti Duplication and Anti-counterfeiting Technology of QR Code Based on Metamerism Characteristics 基于同色特征的二维码双防复制防伪技术研究

2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2020-07-01 DOI: 10.1109/ICIVC50857.2020.9177432

Chen Fangfang, Cao Peng

引用次数: 0

Research on the Audit Failure Based on the Perspective of Manager Behavior Game 基于管理者行为博弈视角的审计失败研究

2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2020-07-01 DOI: 10.1109/ICIVC50857.2020.9177458

Weijun Zhai

引用次数: 0

The Importance of Artworks 3D Digitalization at the Time of COVID Epidemy: Case Studies by the Use of a Multi-wavelengths Technique 艺术品3D数字化在COVID流行时期的重要性:使用多波长技术的案例研究

2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2020-07-01 DOI: 10.1109/ICIVC50857.2020.9177443

M. Guarneri, M. F. de Collibus, M. Francucci, M. Ciaffi

{"title":"The Importance of Artworks 3D Digitalization at the Time of COVID Epidemy: Case Studies by the Use of a Multi-wavelengths Technique","authors":"M. Guarneri, M. F. de Collibus, M. Francucci, M. Ciaffi","doi":"10.1109/ICIVC50857.2020.9177443","DOIUrl":"https://doi.org/10.1109/ICIVC50857.2020.9177443","url":null,"abstract":"At the moment when this article is written, a pandemic disease is attacking our lives, our style of living and our economy. The present work uses this occasion for focusing the attention on the importance to make available a digital copy of our knowledge, history and habits. The slower passing of time inside own residence let the individual to rediscover natural indoor activities, like reading a book or watching a documentary, and try to mentally escape by a virtual visit in a museum or a city. The first evidence coming out from these sites is mainly the limits of this technology for appreciating the artworks, even inside 3D environments, and, probably the most important, the lack of standardization in terms of accessibility and quality of the products. The present work focuses the attention only on one of the aspects of the processes for studying and documenting an artwork: the data acquisition and preprocessing data fusion. For approaching these steps, an out-of-the-market 3D technology based on the combination of several laser sources will be described: the description of this kind of systems is the pretext for analyzing the main differences with the available devices and techniques today largely used in Cultural Heritage environment, but especially for highlighting how the research can try to unify the gamification with diagnostic and restoration support in this sector.","PeriodicalId":6806,"journal":{"name":"2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC)","volume":"219 1","pages":"113-117"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88078535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

A Network for Makeup Face Verification Based upon Deep Learning 基于深度学习的化妆人脸验证网络

2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2020-07-01 DOI: 10.1109/ICIVC50857.2020.9177431

Jiawei Hou, Zhaohui Wang, Yigan Li

引用次数: 3