2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)最新文献_第8页

A Computer Vision Framework for Automatic Description of Indian Monuments 印度古迹自动描述的计算机视觉框架

2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2017-12-01 DOI: 10.1109/SITIS.2017.29

Pushkar Shukla, Beena Rautela, A. Mittal

引用次数: 9

Detailed Analysis of Footprint Geometry for Person Identification 人的足迹几何特征分析

2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2017-12-01 DOI: 10.1109/SITIS.2017.47

N. Nain, Gaurav Singal

{"title":"Detailed Analysis of Footprint Geometry for Person Identification","authors":"N. Nain, Gaurav Singal","doi":"10.1109/SITIS.2017.47","DOIUrl":"https://doi.org/10.1109/SITIS.2017.47","url":null,"abstract":"In this article we propose a novel biometric identification method using Footprint. A paper scanner was used to obtain images to uniquely identify the person. 312 footprint images from 78 persons(2 samples each foot) were analyzed, leading to the conclusion that footprints could also be used to identify human. Physiological and behavioral biometric characteristics make it a great alternative to computational intensive algorithms like fingerprint, palm print, retina or iris scan, and face. Foot biometric is also a great alternative. In spite of having minutia features (considered totally unique and already tested in fingerprint) it also has geometric features like hand geometry which give satisfactory results in recognition.We have computed province, major axis, minor axis, eccentricity in one approach, where a foot is divided into 15 equal sized boxes in another shape-based algorithm. This article also examines the texture features of the foot. It could be applied at those places where people inherently remove their shoes, such as holy places(temples and mosque). They remove shoes at famous monuments such as The Taj Mahal, India from the perspective of hygiene and preservation. Usually, these places are with a strong foot fall and high-risk security due to the chaotic crowd. It could also be employed in newborn authentication and identification. Uniqueness of minutiae foot-print in newborns has been already proved.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134296287","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: 19

Performance Evaluation of Artificial Bee Colony and Compressive Sensing Based Energy Efficient Protocol for WSNs 人工蜂群性能评价及基于压缩感知的wsn节能协议

2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2017-12-01 DOI: 10.1109/SITIS.2017.25

Simranpreet Kaur, Shivani Sharma

{"title":"Performance Evaluation of Artificial Bee Colony and Compressive Sensing Based Energy Efficient Protocol for WSNs","authors":"Simranpreet Kaur, Shivani Sharma","doi":"10.1109/SITIS.2017.25","DOIUrl":"https://doi.org/10.1109/SITIS.2017.25","url":null,"abstract":"Day to day rapid growth of development in wireless communication offers enabled improvement that associated with low cost along with low power wireless sensor networks devices. Unbalanced energy utilization is undoubtedly an inherent problem in Wireless sensor networks (WSNs) described as multi-hop routing a along with many-to-one traffic patterns. To overcome this problem a novel compressive sensing based energy efficient protocol is proposed. Majority of existing techniques have neglected the use of compressive sensing and efficient path selection techniques. Therefore, in order to eliminate these kinds of problems/issues, in this particular work two new approaches has been proposed. By using Artificial Bee Colony (ABC) optimization technique for improvement in efficient energy routing protocol and furthermore, to increases the performance with the use of the compressive sensing by run length coding also. The actual compressive sensing works by using data fusion to eliminate unnecessary information from sensor nodes. Therefore, proposed technique has improved the energy conservation rate further.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121205099","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 Gender Classification Using Multi-Spectral Imaging 基于多光谱成像的鲁棒性别分类

2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2017-12-01 DOI: 10.1109/SITIS.2017.46

N. Vetrekar, Ramachandra Raghavendra, K. Raja, R. Gad, C. Busch

引用次数: 3

Amalgamated Approach for Devanagari Script Corpus for OCR & Demographic Purpose and XML for Linguistic Annotation 用于OCR和人口统计目的的梵文脚本语料库与用于语言注释的XML的合并方法

2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2017-12-01 DOI: 10.1109/SITIS.2017.50

Maninder Singh Nehra, N. Nain, Mushtaq Ahmed, P. Choudhary, Deepa Modi

{"title":"Amalgamated Approach for Devanagari Script Corpus for OCR & Demographic Purpose and XML for Linguistic Annotation","authors":"Maninder Singh Nehra, N. Nain, Mushtaq Ahmed, P. Choudhary, Deepa Modi","doi":"10.1109/SITIS.2017.50","DOIUrl":"https://doi.org/10.1109/SITIS.2017.50","url":null,"abstract":"In this paper, we present compilation of Hindi handwritten text image Corpus and its linguistics perspective in the field of OCR and information retrieval from handwritten document. Devnagari script is little bit complicated to enter a single character; it requires a combination of multiples, due to use of modifier. A mixed approach is proposed and demonstrated for Hindi Corpus for OCR and Demographic data collection. Demographic part of database could be used to train a system to fetch the data automatically, which will be helpful to simplify existing manual data-processing task involved in the field of data collection such as input forms like AADHAR, driving license, Railway Reservation etc. This would increase the participation of Hindi language community in understanding and taking benefit of the government schemes. To make availability and applicability of database in a vast area of corpus linguistics, we propose a methodology for data collection, mark-up, digital transcription, and XML metadata information for benchmarking and ZipF' s law to analyze the distribution and behavior of words in the corpus.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125324207","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

Deep Interactive Region Segmentation and Captioning 深度交互式区域分割和字幕

2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2017-07-26 DOI: 10.1109/SITIS.2017.27

Ali Sharifi Boroujerdi, M. Khanian, M. Breuß

{"title":"Deep Interactive Region Segmentation and Captioning","authors":"Ali Sharifi Boroujerdi, M. Khanian, M. Breuß","doi":"10.1109/SITIS.2017.27","DOIUrl":"https://doi.org/10.1109/SITIS.2017.27","url":null,"abstract":"Based on recent developments in dense image captioning, it is now possible to describe every object of a photographed scene with a caption while objects are determined by bounding boxes. However, the user interpretation of such an output is not trivial due to the existence of many overlapping bounding boxes. Furthermore, in current captioning frameworks, the user is not able to involve personal preferences to exclude areas that are out of interest. In this paper, we propose a novel hybrid deep learning architecture for interactive region segmentation and captioning whereby the user is able to specify an arbitrary region of the image that should be highlighted and described. To this end, we trained three different highly deep architectures on our special training data to identify the User Intention Region (UIR). In parallel, a dense image captioning model is utilized to locate all the objects of the scene by drawing bounding boxes and produce their linguistic descriptions. During our fusion approach, the detected UIR will be explained with the caption of the best match bounding box. To the best of our knowledge, this is the first work that provides such a comprehensive output. Our experiments show the superiority of the proposed approach over state-of-the-art interactive segmentation methods on several well-known segmentation benchmarks. In addition, replacement of the bounding boxes with the result of the interactive segmentation leads to a better understanding of the dense image captioning output as well as an enhancement in object localization accuracy.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126183614","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: 7

Pyramid Binary Pattern for Age Invariant Face Verification 年龄不变人脸验证的金字塔二值模式

2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2017-02-07 DOI: 10.1109/SITIS.2017.45

S. Bijarnia, Preety Singh

引用次数: 2