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2022 International Workshop on Intelligent Systems (IWIS)最新文献

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Proceedings IWIS 2022 – The 2nd International Workshop on Intelligent Systems IWIS 2022 -第二届智能系统国际研讨会
2022 International Workshop on Intelligent Systems (IWIS) Pub Date : 2022-08-17 DOI: 10.1109/iwis56333.2022.9920915
{"title":"Proceedings IWIS 2022 – The 2nd International Workshop on Intelligent Systems","authors":"","doi":"10.1109/iwis56333.2022.9920915","DOIUrl":"https://doi.org/10.1109/iwis56333.2022.9920915","url":null,"abstract":"","PeriodicalId":340399,"journal":{"name":"2022 International Workshop on Intelligent Systems (IWIS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133383177","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: 0
Robust Hand Detection Based on Convolutional Neural Network and Attention Module 基于卷积神经网络和注意模块的鲁棒手部检测
2022 International Workshop on Intelligent Systems (IWIS) Pub Date : 2022-08-17 DOI: 10.1109/IWIS56333.2022.9920913
Duy-Linh Nguyen, M. D. Putro, Xuan-Thuy Vo, T. Tran, K. Jo
{"title":"Robust Hand Detection Based on Convolutional Neural Network and Attention Module","authors":"Duy-Linh Nguyen, M. D. Putro, Xuan-Thuy Vo, T. Tran, K. Jo","doi":"10.1109/IWIS56333.2022.9920913","DOIUrl":"https://doi.org/10.1109/IWIS56333.2022.9920913","url":null,"abstract":"The hands are essential parts, helping people to contact and communicate with the surrounding environment. Hand gesture and position detection is an interesting topic in computer vision field, it was applied in the areas such as action recognition, Human-Computer Interaction, Human-Robot Interaction, control systems, etc. With the strong emergence of artificial neural networks and computer hardware devices, it becomes easier to apply hand detection in practice. Based on the benefits of convolutional neural network (CNN) and bottleneck attention module, this paper proposes a robust CNN for hand detection. The proposed network achieved 95.52% of average precision (AP) on the Egohands test set and 59.07 frames per second (FPS) on the Intel Core I7–4770 @ 3.40 GHz CPU in real-time testing.","PeriodicalId":340399,"journal":{"name":"2022 International Workshop on Intelligent Systems (IWIS)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130293512","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
Unsupervised Object Re-identification via Irregular Sampling 通过不规则采样的无监督对象再识别
2022 International Workshop on Intelligent Systems (IWIS) Pub Date : 2022-08-17 DOI: 10.1109/IWIS56333.2022.9920902
Qing Tang, Ge Cao, K. Jo
{"title":"Unsupervised Object Re-identification via Irregular Sampling","authors":"Qing Tang, Ge Cao, K. Jo","doi":"10.1109/IWIS56333.2022.9920902","DOIUrl":"https://doi.org/10.1109/IWIS56333.2022.9920902","url":null,"abstract":"Object re-identification (Re-ID), is a fundamental task in intelligent systems, that aims to find the same object, i.e., person or vehicle under different camera views or scenes. This paper studies the fully unsupervised object re- ID problem which can learn re- ID without any human-annotated labeled data. Recent works show that self-supervised momentum contrastive learning is an effective method for unsupervised object re- ID, but they neglect to optimize one important component - sampling strategy. Here we investigate and analyze the performances of the current sampling strategy in different numbers of positive samples in a mini-batch under the same learning framework and loss function, then we proposed a more effective and robust sampling strategy - Irregular Sampling (IS). Experimental results show that sampling strategy is also an important factor in model performance, and the proposed sampling strategy IS can effectively boost the model performance. Extensive experiments are performed on one vehicle re-ID dataset and two mainstream person re- ID datasets.","PeriodicalId":340399,"journal":{"name":"2022 International Workshop on Intelligent Systems (IWIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130732274","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: 0
Estimation of Traffic Density Using CNN with Simple Architecture 基于简单结构CNN的交通密度估计
2022 International Workshop on Intelligent Systems (IWIS) Pub Date : 2022-08-17 DOI: 10.1109/IWIS56333.2022.9920811
Muhammad Ardi Putra, A. Harjoko, Wahyono
{"title":"Estimation of Traffic Density Using CNN with Simple Architecture","authors":"Muhammad Ardi Putra, A. Harjoko, Wahyono","doi":"10.1109/IWIS56333.2022.9920811","DOIUrl":"https://doi.org/10.1109/IWIS56333.2022.9920811","url":null,"abstract":"Traffic congestion might be a problem that is commonly encountered in large cities. Currently, most traffic control systems are still unable to capture traffic data, which means that traffic lights cannot be programmed to be adaptive. In this research paper, a traffic density estimation system based on Convolutional Neural Network was created. In order to do so, a video frame from a road surveillance camera was divided into several blocks. The CNN was then used to predict whether each of those blocks was occupied by vehicles. By doing so, the traffic density of each frame is able to be estimated. The result showed that the simplest CNN model, which only consisted of 27,074 weights and biases, achieved the accuracy of 97.47% and 96.57% towards training and validation data, respectively. The processing speed itself is decent since the system was able to run at approximately 15.52 frames per second.","PeriodicalId":340399,"journal":{"name":"2022 International Workshop on Intelligent Systems (IWIS)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115990694","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: 0
3D printing for human tendon-muscle gradient scaffolds engineering 3D打印用于人体肌腱-肌肉梯度支架工程
2022 International Workshop on Intelligent Systems (IWIS) Pub Date : 2022-08-17 DOI: 10.1109/IWIS56333.2022.9920761
Thi Thanh Tho Nguyen, V-T Duong, Le Thi Huong, K. Koo
{"title":"3D printing for human tendon-muscle gradient scaffolds engineering","authors":"Thi Thanh Tho Nguyen, V-T Duong, Le Thi Huong, K. Koo","doi":"10.1109/IWIS56333.2022.9920761","DOIUrl":"https://doi.org/10.1109/IWIS56333.2022.9920761","url":null,"abstract":"We propose a continuous extrusion technique to fabricate tendon-muscle gradient scaffolds, with a smooth myotendinous junction (MTJ). The bio-inks were provided with tissue-specific growth factors from both tendon and muscle decellularized extracellular matrix (dECM). We successfully fabricated gradient scaffolds with three distinctive zones: tendons, muscles, and the MTJ while cell viability remained higher than 95% after 7 days of culturing. The proposed technique could be applied to study interfacial tissue composition and function.","PeriodicalId":340399,"journal":{"name":"2022 International Workshop on Intelligent Systems (IWIS)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122560049","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
Shadow processing with color model adjustment and texture analysis 阴影处理与颜色模型调整和纹理分析
2022 International Workshop on Intelligent Systems (IWIS) Pub Date : 2022-08-17 DOI: 10.1109/IWIS56333.2022.9920935
Md. Azhar Uddin, Tahmina Khanam, Mohammad Badhruddouza Khan, K. Deb, K. Jo
{"title":"Shadow processing with color model adjustment and texture analysis","authors":"Md. Azhar Uddin, Tahmina Khanam, Mohammad Badhruddouza Khan, K. Deb, K. Jo","doi":"10.1109/IWIS56333.2022.9920935","DOIUrl":"https://doi.org/10.1109/IWIS56333.2022.9920935","url":null,"abstract":"Object detection is a fundamental task in computer vision. In most cases, this motive is often corrupted by the shadows in an image. These scenarios consequence a great need of shadow processing. Along with this, the method of detecting and removing shadow is used to improve computer vision applications such as image segmentation, object recognition and tracking. The prime objective of this paper is to detect and remove shadow from an image by analyzing color models and background texture pattern. Initially, shadow boundaries are detected from a given foreground region by adjusting color models. Then the similarity between texture features of shadow and neighboring non-shadow region is measured. Finally, based on these similarities, texture pattern of non-shadow region is projected onto the shadow region to get a shadow free image. However, it is noteworthy that Local Binary Pattern (LBP) is used here to measure the texture feature as it is simple and efficient. In addition, this simple methodology has achieved a good detection rate of 87.81 % and presented a high PSNR (22.41), SSIM (0.9432) value and low RMSE (3.48) value after shadow removal.","PeriodicalId":340399,"journal":{"name":"2022 International Workshop on Intelligent Systems (IWIS)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128470313","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: 0
POCS-based Clustering Algorithm 基于pocs的聚类算法
2022 International Workshop on Intelligent Systems (IWIS) Pub Date : 2022-08-15 DOI: 10.1109/IWIS56333.2022.9920762
Le-Anh Tran, Henock M. Deberneh, Truong-Dong Do, T. Nguyen, M. Le, Dong-Chul Park
{"title":"POCS-based Clustering Algorithm","authors":"Le-Anh Tran, Henock M. Deberneh, Truong-Dong Do, T. Nguyen, M. Le, Dong-Chul Park","doi":"10.1109/IWIS56333.2022.9920762","DOIUrl":"https://doi.org/10.1109/IWIS56333.2022.9920762","url":null,"abstract":"A novel clustering technique based on the projection onto convex set (POCS) method, called POCS-based clustering algorithm, is proposed in this paper. The proposed POCS-based clustering algorithm exploits a parallel projection method of POCS to find appropriate cluster prototypes in the feature space. The algorithm considers each data point as a convex set and projects the cluster prototypes parallelly to the member data points. The projections are convexly combined to minimize the objective function for data clustering purpose. The performance of the proposed POCS-based clustering algorithm is verified through experiments on various synthetic datasets. The experimental results show that the proposed POCS-based clustering algorithm is competitive and efficient in terms of clustering error and execution speed when compared with other conventional clustering methods including Fuzzy C-Means (FCM) and K-Means clustering algorithms.","PeriodicalId":340399,"journal":{"name":"2022 International Workshop on Intelligent Systems (IWIS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115798633","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: 2
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