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Fractional amplitude of low-frequency fluctuation and degree centrality in autistic children: a resting-state fMRI study 自闭症儿童低频波动和度中心性的分数幅值:静息状态功能磁共振成像研究
... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2018-07-26 DOI: 10.1117/12.2501762
Bo Miao, Junling Guan, Q. Meng, Yulin Zhang
{"title":"Fractional amplitude of low-frequency fluctuation and degree centrality in autistic children: a resting-state fMRI study","authors":"Bo Miao, Junling Guan, Q. Meng, Yulin Zhang","doi":"10.1117/12.2501762","DOIUrl":"https://doi.org/10.1117/12.2501762","url":null,"abstract":"Autism negatively affects healthy cognitive development in children. As reliable neuroimaging markers, fractional amplitude of low-frequency fluctuation (fALFF) can reflect the intensity of spontaneous brain activity, and degree centrality (DC) can reflect connectivity of whole brain at voxel-level. By combining these two markers we can study the pathological mechanism of autism from more aspects. We investigated fALFF and weighted DC differences using functional magnetic resonance imaging (fMRI) data in 24 autistic children and 24 neurotypical children. Compared with neurotypical children, autistic children showed increased fALFF in right medial frontal gyrus, right dorsal anterior cingulate cortex, and bilateral ventral posterior cingulate cortex as well as decreased fALFF in bilateral visual cortex. Compared with neurotypical children, autistic children also showed increased weighted DC in left middle temporal gyrus, left middle frontal gyrus, and bilateral ventral posterior cingulate cortex as well as decreased weighted DC in left posterior cerbellar lobe and left visual cortex. Results in our study suggest that the pathological mechanism of autism is associated with spontaneous activity and connectivity changes in many brain regions, these changes will affect the ability of theory of mind.","PeriodicalId":90079,"journal":{"name":"... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging","volume":"138 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72938013","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
A similarity learning for fine-grained images based on the Mahalanobis metric and the kernel method 基于Mahalanobis度量和核方法的细粒度图像相似性学习
... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2018-07-26 DOI: 10.1117/12.2501757
Z. Fu, Ninghua Wang, Z. Feng, Ting Dong
{"title":"A similarity learning for fine-grained images based on the Mahalanobis metric and the kernel method","authors":"Z. Fu, Ninghua Wang, Z. Feng, Ting Dong","doi":"10.1117/12.2501757","DOIUrl":"https://doi.org/10.1117/12.2501757","url":null,"abstract":"Since most prior studies on similar image retrieval focused on the category level, image similarity learning at the finegrained level remains challenge, which often leads to a semantic gap between the low-level visual features and highlevel human perception. To solve the problem, we proposed a Mahalanobis and kernel-based similarity (Mah-Ker) method combined with features developed by the Convolutional Neural Network (CNN). Firstly, triplet constraints are introduced to characterize the fine-grained image similarity relationship which the Mahalanobis metric is trained upon. Then a kernel-based metric is proposed in the last layer of model to devise nonlinear extensions of Mahalanobis metric and further enhance the performance. Experiments based on the real VIP.com dress dataset showed that our proposed method achieved a promising higher retrieval performance than both the state-of-art fine-grained similarity model and the hand-crafted visual feature based approaches.","PeriodicalId":90079,"journal":{"name":"... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74064342","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
Determination of jeepney engine condition based on smoke emission analysis using carbon monoxide and carbon dioxide gas sensors with color-based segmentation using L*a*b color space 基于L*a*b颜色空间的基于颜色分割的一氧化碳和二氧化碳气体传感器烟雾排放分析的吉普尼发动机状态判断
... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2018-07-26 DOI: 10.1117/12.2502046
Jessie R. Balbin, G. Magwili, Jordaniel C. Agus, R. Malonga, Jazzleen S. Manalo, Erick John B. Reyes
{"title":"Determination of jeepney engine condition based on smoke emission analysis using carbon monoxide and carbon dioxide gas sensors with color-based segmentation using L*a*b color space","authors":"Jessie R. Balbin, G. Magwili, Jordaniel C. Agus, R. Malonga, Jazzleen S. Manalo, Erick John B. Reyes","doi":"10.1117/12.2502046","DOIUrl":"https://doi.org/10.1117/12.2502046","url":null,"abstract":"Jeepneys play a significant role in the Philippines’ transportation system as they are the most widely used mode of transportation in the country. With the advent of jeepney modernization, jeepneys with poor emissions are being threatened to be phased out due to excessive emissions of harmful gases. These will affect the environment as well as the health of the commuters. Using an Arduino, CO (Carbon Monoxide), CO2 (Carbon Dioxide) sensors and a webcam, the researchers have created a prototype which identifies the likely engine problem of the jeep from analyzing the smoke emissions. The device is accompanied with a graphical user interface for initializing the prototype, viewing real time data, and saving data for references and future use.","PeriodicalId":90079,"journal":{"name":"... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging","volume":"14 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72449420","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
Button location and recognition method for elevator based on artificial mark and geometric transformation 基于人工标记和几何变换的电梯按钮定位与识别方法
... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2018-07-26 DOI: 10.1117/12.2501934
Jianjie Shi, Q. An, Jinping Li
{"title":"Button location and recognition method for elevator based on artificial mark and geometric transformation","authors":"Jianjie Shi, Q. An, Jinping Li","doi":"10.1117/12.2501934","DOIUrl":"https://doi.org/10.1117/12.2501934","url":null,"abstract":"A button location and recognition method is proposed to help robot locate elevator button with the purpose of taking elevator to the destination floor autonomously. The position of elevator’s control panel is determined with four artificial marks around it, while the marks are located by analyzing the nested contours. After transforming the button panel into a rectangle with perspective transformation, we extract the feature of the buttons using morphology transformations. Then the layout of the button panel is determined with the projection histograms of the panel. Finally, the position and function of each button is obtained by comparing the layout with the template that has been set manually.","PeriodicalId":90079,"journal":{"name":"... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging","volume":"173 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82950293","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
An extension of BING to high IOU threshold BING扩展到高IOU阈值
... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2018-07-26 DOI: 10.1117/12.2501932
C. Guo, Yinwei Zhan
{"title":"An extension of BING to high IOU threshold","authors":"C. Guo, Yinwei Zhan","doi":"10.1117/12.2501932","DOIUrl":"https://doi.org/10.1117/12.2501932","url":null,"abstract":"BING is an objectness measure to extract proposal windows in an image that may contain objects, avoiding cumbersome sliding window search for object detection. BING has a high recall rate when the Intersection-over-Union (IOU) threshold is 0.5, and runs as fast as 300 fps. However, the recall rate drops rapidly when the IOU threshold is greater than 0.5. So in this paper, we focus on investigating the cause of this phenomenon, and propose how to improve the recall rates, in which average recall rate is used in the performance evaluation of objectness measure for object detection. The problem of less positive samples in the secondary training stage is solved by selecting parameters with respect to training and testing.","PeriodicalId":90079,"journal":{"name":"... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging","volume":"53 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89973729","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
Detection of zero degree belt loss in radial tire based on multiscale Gabor transform 基于多尺度Gabor变换的子午线轮胎零度皮带损耗检测
... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2018-07-26 DOI: 10.1117/12.2501933
Xiunan Zheng, Zengzhi Pang, Qingtao Hou, Jinping Li
{"title":"Detection of zero degree belt loss in radial tire based on multiscale Gabor transform","authors":"Xiunan Zheng, Zengzhi Pang, Qingtao Hou, Jinping Li","doi":"10.1117/12.2501933","DOIUrl":"https://doi.org/10.1117/12.2501933","url":null,"abstract":"Tire safety is becoming more and more important with the increasing number of vehicles. The Zero Degree Belt Loss (ZDBL) is one of the important defects in radial tire that attract serious attention, which can result in fatal influence on the tire quality. In this study, an effective detection method to detect ZDBL in all steel radial tire based on multiscale Gabor transform and morphological filter is proposed. First of all, the multiscale and multi direction Gabor filtering of the tire tread image is carried out. After Gabor filtering, it was found that the texture of the 0 degree belt is obviously different from the other parts in zero degree direction. Then, according to the direction feature extracted by the Gabor transform, a morphologic filter is constructed to remain zero degree direction texture. Finally, if the pixel number is less than threshold in 0 degree direction of the tire tread after morphological filtering, the tire can be judged with ZDBL. 800 tire images are used in our experiment. These images are obtained from a tire factory, which including 100 normal images without any defects, 100 images with ZDBL and 600 images with other types of defects. The results show that the precision is 99.8% and the recall rate can reach 99.9%. Testing in the tire factory have also achieved good results without misreporting.","PeriodicalId":90079,"journal":{"name":"... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging","volume":"2016 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86164277","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
An automatic facial beautification method for video post-processing 一种用于视频后处理的自动面部美化方法
... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2018-07-26 DOI: 10.1117/12.2501849
Yifeng Zhou, Wensha Tian, Chengrong Yu, Bo Jiang, Sijiang Liu
{"title":"An automatic facial beautification method for video post-processing","authors":"Yifeng Zhou, Wensha Tian, Chengrong Yu, Bo Jiang, Sijiang Liu","doi":"10.1117/12.2501849","DOIUrl":"https://doi.org/10.1117/12.2501849","url":null,"abstract":"The facial beautification is very popular nowadays. There are many photographic apps supporting the facial beautification function. However, the automatic beautification of human faces in a video is still relatively rare. In this paper, we present an automatic facial beautification method for video post-processing software. Firstly we use OpenCV and Dlib to detect the human’s face. Secondly we use Gaussian blur and median filtering to whiten the facial area. And then we use linear interpolation to add the decoration to the cheek. Lastly we enhance the lip’s color based on digital differential analyzer (DDA) and scan line algorithm. The method has been developed as a plugin for After Effects (AE). Experiments show that our method can achieve good results with no obvious artifacts and it’s easy to operate.","PeriodicalId":90079,"journal":{"name":"... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90547693","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 vanishing point detection based on block wise weighted soft voting scheme 基于分块加权软投票方案的鲁棒消失点检测
... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2018-07-26 DOI: 10.1117/12.2501966
Xue Fan, Zhiquan Feng, Xiaohui Yang, Tao Xu
{"title":"Robust vanishing point detection based on block wise weighted soft voting scheme","authors":"Xue Fan, Zhiquan Feng, Xiaohui Yang, Tao Xu","doi":"10.1117/12.2501966","DOIUrl":"https://doi.org/10.1117/12.2501966","url":null,"abstract":"Vanishing point detection is a challenging task due to the variations in road types and its cluttered background. Currently, most existing texture-based methods detect the vanishing point using pixel-wise voting map generation, which suffers from high computational complexity and the noise votes introduced by the incorrectly estimated texture orientations. In this paper, a block wise weighted soft voting scheme is developed for good performance in complex road scenes. First, the gLoG filters are applied to estimate the texture orientation of each pixel. Then, the image is divided into blocks in a sliding fashion, and a histogram is constructed based on the texture orientation of pixels within each block to obtain the dominant orientation bin. Instead of using the texture orientation of all valid pixels within each block, only the dominant orientation bin is utilized to perform a weighted soft voting. The experimental results on the benchmark dataset show that the proposed method achieves the best performance among all, when compared with the state-of-the-art works.","PeriodicalId":90079,"journal":{"name":"... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging","volume":"215 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73547425","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
Radar micro-doppler signature analysis and its application on gait recognition 雷达微多普勒特征分析及其在步态识别中的应用
... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2018-07-26 DOI: 10.1117/12.2501770
Jianfeng Ren, Xudong Jiang
{"title":"Radar micro-doppler signature analysis and its application on gait recognition","authors":"Jianfeng Ren, Xudong Jiang","doi":"10.1117/12.2501770","DOIUrl":"https://doi.org/10.1117/12.2501770","url":null,"abstract":"Micro-Doppler signature (mDS) was often utilized for radar target recognition in literature. Most existing approaches focus on extracting visual features for human operators. In this paper, we provide a complete solution to gait recognition using radar micro-Doppler analysis. Gait recognition is challenging due to the time-varying nature of micro-Doppler signature and the small differences of human gaits among different people. To align two mDSs in time, we propose to utilize dynamic time warping (DTW). To uncover the tiny differences among people, we propose to treat the distances of a sample to all gallery samples as the feature vector, and classify it using a support vector machine. To evaluate the performance of the proposed approach, we create an mDS-gait database. On this database, the proposed approach demonstrates superior performance compared with existing ones.","PeriodicalId":90079,"journal":{"name":"... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87178575","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
A CNN-based probability hypothesis density filter for multitarget tracking 基于cnn的多目标跟踪概率假设密度滤波器
... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2018-07-26 DOI: 10.1117/12.2501761
Chenming Li, Wenguang Wang, Yankuan Liang
{"title":"A CNN-based probability hypothesis density filter for multitarget tracking","authors":"Chenming Li, Wenguang Wang, Yankuan Liang","doi":"10.1117/12.2501761","DOIUrl":"https://doi.org/10.1117/12.2501761","url":null,"abstract":"Recently, the probability hypothesis density filter (PHD) shows excellent multiple targets tracking performance, and it has been applied for tracking targets in video. The PHD filter usually needs to integrate other feature for image object tracking. However, the single hand-crafted feature shows poor robustness while utilizing multiple features fusion will increase the complexity. To alleviate the above problems, a deep convolutional neural networks (CNN) based PHD filter is proposed in this paper. The proposed method utilizes the impressive representability of the CNN feature to improve the robustness without increasing the complexity. Besides this, we also revise the update process of the standard PHD filter to output the continuous track and new birth targets, directly. The experiment tested on MOT17 dataset validate the efficacy of the proposed method in multitarget tracking in image sequences.","PeriodicalId":90079,"journal":{"name":"... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86325757","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
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