2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)最新文献_第4页

Learning relations using semantic-based vector similarity 使用基于语义的向量相似性学习关系

2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737125

Kinga Budai, M. Dînsoreanu, Ioana Barbantan, R. Potolea

引用次数: 2

A mobile application to improve the quality of life via exercise 一款通过锻炼来提高生活质量的手机应用

2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737122

Jason Costa, Paulo A. P. Fazendeiro, Filipe Ferreira

{"title":"A mobile application to improve the quality of life via exercise","authors":"Jason Costa, Paulo A. P. Fazendeiro, Filipe Ferreira","doi":"10.1109/ICCP.2016.7737122","DOIUrl":"https://doi.org/10.1109/ICCP.2016.7737122","url":null,"abstract":"Sensor enabled smartphones have become a common platform for researchers due to their availability and ability to collect and process large quantities of data. In this work, a solution is proposed to support the student's assessment process in physical education classes, through the use of accelerometry data collected from smartphones. This solution aims to deliver accurate and readily available information regarding student's activity using common technologies in order to develop a low-cost approach. To develop this solution, accelerometry data was collected from several students while performing a list of activities, using a smartphone and a developed mobile app. The collected accelerometry data is used for activity information extraction such as energy expenditure and activity recognition. This information is displayed in a developed web application along with analytic charts and student information. The student accelerometry data is summarized and made available as a means to aid and complement the teacher's assessment process and grading system. By engaging the students in the new class assessment system, the authors also hope to promote the practice of healthy exercise habits, by providing the students with visual information about their activity and allowing them to compare statistics between each other and, perhaps more importantly, evaluate their own evolution.","PeriodicalId":343658,"journal":{"name":"2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"3 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113971981","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: 4

Window-based feature extraction framework for machine-printed/handwritten and Arabic/Latin text discrimination 基于窗口的机器打印/手写和阿拉伯/拉丁文本识别特征提取框架

2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737168

Anis Mezghani, Fouad Slimane, S. Kanoun, M. Kherallah

引用次数: 3

Active perception for object manipulation 物体操纵的主动感知

2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737158

Ady-Daniel Mezei, L. Tamás

引用次数: 3

Multiclass classification based on clustering approaches for obstacle recognition in traffic scenes 基于聚类的多类分类交通场景障碍物识别方法

2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737156

Roxana Mocan, L. Dioşan

引用次数: 0

Patch warping and local constraints for improved block matching stereo correspondence 改进块匹配立体对应的补丁翘曲和局部约束

2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737167

Mircea Paul Muresan, S. Nedevschi, R. Danescu

{"title":"Patch warping and local constraints for improved block matching stereo correspondence","authors":"Mircea Paul Muresan, S. Nedevschi, R. Danescu","doi":"10.1109/ICCP.2016.7737167","DOIUrl":"https://doi.org/10.1109/ICCP.2016.7737167","url":null,"abstract":"Depth estimation of the surrounding environment using a stereoscopic camera setup is an important and fundamental research topic in computer vision. Due to its running time and quality performance in real situations the semi global matching algorithm is often used. The biggest disadvantage of the semi global approach is its large memory footprint. On the other hand, block matching stereo is leaner when it comes to memory consumption and therefore it is commonly used in applications where we do not have many resources, in order to obtain coarse depth information of the environment. The poor quality performance of such algorithms make them impractical for many real life applications. In this paper we focus on improving the quality of the classical block matching (BM) stereo method by proposing a novel approach which tackles the problem of stereo matching for slanted and fronto-parallel surfaces by using different types of binary masks on the matching window. Another improvement consists in the usage of different types of local constraints in the generation of the winning disparity for a specific position, such that possible outliers are eliminated from the start. The validation of our results has been done on the KITTI stereo benchmark dataset.","PeriodicalId":343658,"journal":{"name":"2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128313299","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

Evolutionary community detection in complex and dynamic networks 复杂动态网络中的进化群落检测

2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737134

Cristian Jora, Camelia Chira

引用次数: 5

Bird Mating Optimization method for one-to-n skill matching 一对n技能匹配的鸟类交配优化方法

2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737139

Simon Corde, V. Chifu, I. Salomie, E. Chifu, Andreea Iepure

引用次数: 9

FPGA-based stereo vision hardware for generating dense disparity maps 用于生成密集视差图的基于fpga的立体视觉硬件

2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737151

C. Vancea, S. Nedevschi

引用次数: 1

Disparity image segmentation for free-space detection 用于自由空间检测的视差图像分割

2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2016-09-01 DOI: 10.1109/ICCP.2016.7737150

Ignat Oana

{"title":"Disparity image segmentation for free-space detection","authors":"Ignat Oana","doi":"10.1109/ICCP.2016.7737150","DOIUrl":"https://doi.org/10.1109/ICCP.2016.7737150","url":null,"abstract":"The paper introduces a novel and efficient algorithm for determining the free-space in road driving assistance scenarios. The input data for the algorithm is gathered from a stereo camera and is processed as a disparity image. Each column of the disparity image is segmented based on its relative extreme points. The idea is inspired from a time series compression article which presents a method for segmenting data measured at equal intervals of time (time series): electro cardiograms, monthly stocking-exchanges, etc. The novelty of the method consists in adapting an idea used in a different area of interest for an image recognition purpose. Compared to existing algorithms in the driving assistance field that share the same goal, the proposed method achieves great adaptability and a linear time performance. The adaptability of the method is worth mentioning as it gives good results both on precise data gathered with a lidar scanner and on noisy disparity inferred with a stereo camera. The algorithm filters most of the errors of measurement while preserving the points of interest that delimit the road, objects or sky. Because the filtering steps preserve the data of interest, additional post-processing steps are no longer required thus minimizing the time complexity.","PeriodicalId":343658,"journal":{"name":"2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123467614","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