2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)最新文献_第8页

Comparative evaluation of feature normalization techniques for voice password based speaker verification 基于语音密码的说话人验证特征归一化技术的比较评价

2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) Pub Date : 2013-12-01 DOI: 10.1109/NCVPRIPG.2013.6776237

Fidalizia Pyrtuh, Sarfaraz Jelil, Geetima Kachari, L. J. Singh

{"title":"Comparative evaluation of feature normalization techniques for voice password based speaker verification","authors":"Fidalizia Pyrtuh, Sarfaraz Jelil, Geetima Kachari, L. J. Singh","doi":"10.1109/NCVPRIPG.2013.6776237","DOIUrl":"https://doi.org/10.1109/NCVPRIPG.2013.6776237","url":null,"abstract":"This paper presents a comparative study of the normalization techniques used at feature level in voice password based speaker verification system. The input sample speech is recorded at different instants of time and environment. Hence, there is a variation in the input sample due to the environmental interference, noise, emotions etc. The input sample is a human voice with unique passwords taken/recorded at three different instants of time or day. This input sample is processed using sampling, pre-emphasis, MFCC feature extraction and DTW. In order to enhance the features we have used three different popular feature normalization techniques namely MVN (Mean and Variance Normalization), CMN (Cepstral Mean Normalization) and PCA(Principal Component Analysis) and analyzed the result of each technique individually. The objective of this paper is to compare the performance and efficiency of these techniques and evaluate which of these gives the best verification rate. According to our findings CMN gives the best results.","PeriodicalId":436402,"journal":{"name":"2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)","volume":"78 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123268036","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: 5

A framework for abandoned object detection from video surveillance 基于视频监控的废弃目标检测框架

2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) Pub Date : 2013-12-01 DOI: 10.1109/NCVPRIPG.2013.6776161

R. Tripathi, A. S. Jalal, C. Bhatnagar

引用次数: 29

Generalized newtonian fluid simulations 广义牛顿流体模拟

2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) Pub Date : 2013-12-01 DOI: 10.1109/NCVPRIPG.2013.6776169

Nitish Tripathi, P J Narayanan

引用次数: 2

High quality depth map estimation by kinect upsampling and hole filling using RGB features and mutual information 利用RGB特征和互信息进行kinect上采样和孔填充的高质量深度图估计

2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) Pub Date : 2013-12-01 DOI: 10.1109/NCVPRIPG.2013.6776238

Nidhi Chahal, S. Chaudhury

{"title":"High quality depth map estimation by kinect upsampling and hole filling using RGB features and mutual information","authors":"Nidhi Chahal, S. Chaudhury","doi":"10.1109/NCVPRIPG.2013.6776238","DOIUrl":"https://doi.org/10.1109/NCVPRIPG.2013.6776238","url":null,"abstract":"High quality depth map estimation is required for better visualization of 3D views as there is great impact of depth map quality on overall 3D image quality. If the depth is estimated from conventional ways using two or more images, some defects come into picture, mostly in regions without texture. We utilised Microsoft Kinect RGBD dataset to obtain input color images and depth maps which also includes some noise factors. We proposed a method to remove this noise and get quality depth images. First the color and depth images are aligned to each other using intensity based image registration. This method of image alignment is mostly used in medical field, but we applied this technique to correct kinect depth maps by which one can avoid cumbersome task of feature based point correspondence between images. There is no requirement of preprocessing or segmentation steps if we use intensity based image alignment method. Second, we proposed an algorithm to fill the unwanted gaps in kinect depth maps and upsampled it using corresponding high resolution color image. Finally we applied 9×9 median filtering on implementation results and get high quality and improved depth maps.","PeriodicalId":436402,"journal":{"name":"2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)","volume":"241 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121575331","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

Assisting the autistic with improved facial expression recognition from mixed expressions 帮助自闭症患者提高面部表情识别能力

2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) Pub Date : 2013-12-01 DOI: 10.1109/NCVPRIPG.2013.6776229

Washef Ahmed, S. Mitra, Kunal Chanda, Debasis Mazumdar

{"title":"Assisting the autistic with improved facial expression recognition from mixed expressions","authors":"Washef Ahmed, S. Mitra, Kunal Chanda, Debasis Mazumdar","doi":"10.1109/NCVPRIPG.2013.6776229","DOIUrl":"https://doi.org/10.1109/NCVPRIPG.2013.6776229","url":null,"abstract":"People suffering from autism have difficulty with recognizing other people's emotions and are therefore unable to react to it. Although there have been attempts aimed at developing a system for analyzing facial expressions for persons suffering from autism, very little has been explored for capturing one or more expressions from mixed expressions which are a mixture of two closely related expressions. This is essential for psychotherapeutic tool for analysis during counseling. This paper presents the idea of improving the recognition accuracy of one or more of the six prototypic expressions namely happiness, surprise, fear, disgust, sadness and anger from the mixture of two facial expressions. For this purpose a motion gradient based optical flow for muscle movement is computed between frames of a given video sequence. The computed optical flow is further used to generate feature vector as the signature of six basic prototypic expressions. Decision Tree generated rule base is used for clustering the feature vectors obtained in the video sequence and the result of clustering is used for recognition of expressions. The relative intensity of expressions for a given face present in a frame is measured. With the introduction of Component Based Analysis which is basically computing the feature vectors on the proposed regions of interest on a face, considerable improvement has been noticed regarding recognition of one or more expressions. The results have been validated against human judgement.","PeriodicalId":436402,"journal":{"name":"2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122255576","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

Reversible watermarking technique to enhance security of a biometric authentication system 提高生物特征认证系统安全性的可逆水印技术

2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) Pub Date : 2013-12-01 DOI: 10.1109/NCVPRIPG.2013.6776240

Vaibhav B. Joshi, M. Raval, S. Mitra, P. Rege, S. K. Parulkar

{"title":"Reversible watermarking technique to enhance security of a biometric authentication system","authors":"Vaibhav B. Joshi, M. Raval, S. Mitra, P. Rege, S. K. Parulkar","doi":"10.1109/NCVPRIPG.2013.6776240","DOIUrl":"https://doi.org/10.1109/NCVPRIPG.2013.6776240","url":null,"abstract":"For every biometric template protecting technique, non-reversibility, accuracy, and revocability are essential features. Several template protecting techniques like bio-hash or biometric crypto system are used to transform raw biometric features into alternative form known as protected template [2]. As the protected templates are non-reversible, biometric verification is done in a transform domain. Tampered or stolen protected template may cause false validation; therefore its authentication in the database is essential. Reversible watermarking technique provides one such effective mechanism. Watermark protected templates are stored in the database at the time of its enrollment. During verification phase, incoming query template is compared with many database templates until a match is established. This verification technique increase complexity and burden on a biometric authentication system. In this paper, we propose a tag based template searching in reversible watermarking technique to check authenticity and reduce burden on biometric authentication system. In the proposal, rotation, scale and translation (RST) invariant features of biometric image are used for tagging the data. Watermark reversibility in the proposed method ensures that its presence do not affect native biometric authentication. Moreover presence of watermark in the biometric template provides security against replay attack.","PeriodicalId":436402,"journal":{"name":"2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125575546","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: 5

A frequency domain approach to silhouette based gait recognition 基于轮廓的步态识别频域方法

2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) Pub Date : 2013-12-01 DOI: 10.1109/NCVPRIPG.2013.6776261

Soumyadip Sengupta, Udit Halder, R. Panda, A. S. Chowdhury

引用次数: 0

Object boundary detection using Rough Set Theory 基于粗糙集理论的目标边界检测

2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) Pub Date : 2013-12-01 DOI: 10.1109/NCVPRIPG.2013.6776259

Ashish Phophalia, S. Mitra, Ajit Rajwade

引用次数: 3

Duplicate open page removal from video stream of book flipping 从翻书的视频流中复制打开的页面移除

2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) Pub Date : 2013-12-01 DOI: 10.1109/NCVPRIPG.2013.6776203

Dibyayan Chakraborty, P. Roy, J. Álvarez, U. Pal

{"title":"Duplicate open page removal from video stream of book flipping","authors":"Dibyayan Chakraborty, P. Roy, J. Álvarez, U. Pal","doi":"10.1109/NCVPRIPG.2013.6776203","DOIUrl":"https://doi.org/10.1109/NCVPRIPG.2013.6776203","url":null,"abstract":"Book flipping scanning refers to the process of recording a book while the user performs the flipping action of its pages. In recent years it has gained much attention as it reduces the workload of book digitization significantly. It is a challenging task because flipping at random speed and direction causes difficulties to identify distinct open page images (OPI) which represent each page of the book. In this paper, we propose a fast technique for removing duplicate open pages introduced in the video stream due to erroneous flipping. We present an algorithm that exploits cues from edge information of flipping pages. The nature of the cues extracted from the region of interest (ROI) of the frame, determines the flipping or an open state of a page whereas temporal position a flipping page determines the direction of the flipping. Combining these information we decide whether an open page image is a duplicate or not. Experiments are performed on video documents recorded using a standard resolution camera to validate the duplicate open page removal algorithm and we have obtained 95% accuracy.","PeriodicalId":436402,"journal":{"name":"2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129960617","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

Partial Fourier reconstruction using subspace projection 利用子空间投影的部分傅立叶重构

2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) Pub Date : 2013-12-01 DOI: 10.1109/NCVPRIPG.2013.6776211

K. Uma, C. Kesavadas, J. S. Paul

引用次数: 0