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2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)最新文献

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Single image Super Resolution by no-reference image quality index optimization in PCA subspace 基于PCA子空间无参考图像质量指标优化的单幅图像超分辨率
2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2016-07-18 DOI: 10.1109/CSPA.2016.7515828
Brian Sumali, H. Sarkan, N. Hamada, Y. Mitsukura
{"title":"Single image Super Resolution by no-reference image quality index optimization in PCA subspace","authors":"Brian Sumali, H. Sarkan, N. Hamada, Y. Mitsukura","doi":"10.1109/CSPA.2016.7515828","DOIUrl":"https://doi.org/10.1109/CSPA.2016.7515828","url":null,"abstract":"Principal Component Analysis (PCA) has been effectively applied for solving atmospheric-turbulence degraded images. PCA-based approaches improve the image quality by adding high-frequency components extracted using PCA to the blurred image. The PCA-based restoration process is similar with conventional single-frame Super-Resolution (SR) methods, which perform SR process by improving the edges portion of low-resolution images. This paper aims to introduce PCA-based restoration to solve SR problem with additive white Gaussian noise. We conducted experiments using standard image database and show comparative result with the latest deep-learning SR approach.","PeriodicalId":314829,"journal":{"name":"2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131868435","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
Abnormal sound analytical surveillance system using microcontroller 采用单片机的异常声音分析监控系统
2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2016-03-04 DOI: 10.1109/CSPA.2016.7515824
T. Teng, Lim Tien Sze, Ong Lee Yeng
{"title":"Abnormal sound analytical surveillance system using microcontroller","authors":"T. Teng, Lim Tien Sze, Ong Lee Yeng","doi":"10.1109/CSPA.2016.7515824","DOIUrl":"https://doi.org/10.1109/CSPA.2016.7515824","url":null,"abstract":"Analytical surveillance can perform the surveillance tasks much more efficient comparing to operator manual monitoring. This had made it getting increased market's interest in recent years. Commonly, closed circuit television (CCTV) is used for security surveillance. However, CCTVs are purely vision output. These silent videos may not provide complete picture of the happening. Sound detection is incorporate into vision surveillance for enhancement. Sound detection is able to detect abnormal sound although happen at camera blind spots or due to intentional blocking. In this paper, we propose to use microcontroller embedded system to enhance current CCTV system. Proposed abnormal sound embedded system is to carry out the sound detection, audio processing and analysis. This study is using only single microphone for sound detection. Audio amplitude and frequency range are targeted feature extracted from Fast Fourier Transform (FFT). Abnormal sound of human screaming and glass breaking were classified using decision tree. From experiment, proposed abnormal sound analytical surveillance system test yield average of 88% accuracy detection. We can consider our work is simple and cost effective for field implementation.","PeriodicalId":314829,"journal":{"name":"2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115449330","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
Template-based search: A tool for scene analysis 基于模板的搜索:用于场景分析的工具
2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2016-03-04 DOI: 10.1109/CSPA.2016.7515772
A. Halawani, Haibo Li
{"title":"Template-based search: A tool for scene analysis","authors":"A. Halawani, Haibo Li","doi":"10.1109/CSPA.2016.7515772","DOIUrl":"https://doi.org/10.1109/CSPA.2016.7515772","url":null,"abstract":"This paper proposes a simple and yet effective technique for shape-based scene analysis, in which detection and/or tracking of specific objects or structures in the image is desirable. The idea is based on using predefined binary templates of the structures to be located in the image. The template is matched to contours in a given edge image to locate the designated entity. These templates are allowed to deform in order to deal with variations in the structure's shape and size. Deformation is achieved by dividing the template into segments. The dynamic programming search algorithm is used to accomplish the matching process, achieving very robust results in cluttered and noisy scenes in the applications presented.","PeriodicalId":314829,"journal":{"name":"2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116765537","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
Local Binary Pattern (LBP) with application to variant object detection: A survey and method 局部二值模式(LBP)在变目标检测中的应用综述与方法
2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2016-03-04 DOI: 10.1109/CSPA.2016.7515835
M. S. Karis, N. Razif, N. M. Ali, M. A. Rosli, M. Aras, M. Ghazaly
{"title":"Local Binary Pattern (LBP) with application to variant object detection: A survey and method","authors":"M. S. Karis, N. Razif, N. M. Ali, M. A. Rosli, M. Aras, M. Ghazaly","doi":"10.1109/CSPA.2016.7515835","DOIUrl":"https://doi.org/10.1109/CSPA.2016.7515835","url":null,"abstract":"This paper study about variants object detection by using local binary pattern. Local binary pattern is one of the famous method in object detection field because of its success used in object detection. The objective of object detection is to differentiate between object and background. However, LBP also has its own weaknesses in object detection. LBP modification that been proposed by a lot of researchers can overcome the weaknesses. In this paper, variants of local binary pattern method and modification has been study and analyze. All those local binary pattern modification has been extract its feature in term of object detection. The modifications are Non-Redundant Local Binary Pattern (NRLBP), Integral Local Binary Pattern (INTLBP), Multi-scale Block Local Binary Pattern (MBLBP) and Discriminative Robust Local Binary Pattern (DRLBP).","PeriodicalId":314829,"journal":{"name":"2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126252263","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: 28
Juggling an Arduino for multi-utility-meter, load profiling and a novel waveform capture logger applications 将Arduino用于多电能表，负载分析和新颖的波形捕获记录器应用程序
2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2016-03-04 DOI: 10.1109/CSPA.2016.7515816
K. Shashikumar, C. Venkataseshaiah, Sim Kok Swee
{"title":"Juggling an Arduino for multi-utility-meter, load profiling and a novel waveform capture logger applications","authors":"K. Shashikumar, C. Venkataseshaiah, Sim Kok Swee","doi":"10.1109/CSPA.2016.7515816","DOIUrl":"https://doi.org/10.1109/CSPA.2016.7515816","url":null,"abstract":"It's obvious we love Arduino due to its simplicity but it does not lack in handling complexity. We have put together a list of ideas using Arduino as utility metering. We have included the hardware design, software and wireless topology system used. Our design is capable to preform multi-utility-metering, utility real time load profiling and a novel utility waveform capture logging. In this paper we present off-the-shelf modules that could easily build and be programmed to fulfill utility metering transformation and integration with the existing utility meters. The same hardware can be used as multi-utility-meter, load profiling or waveform capture with just a program flicker. Our utility meter can be used for detecting energy expenditure breakdown per appliance, power hungry faulty appliance and recognition of occupant activity. It also helps empower building owners of energy awareness.","PeriodicalId":314829,"journal":{"name":"2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131590274","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
Calibration of embedded force sensor for robotic hand manipulation 机械手操作中嵌入式力传感器的标定
2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2016-03-04 DOI: 10.1109/CSPA.2016.7515859
K. Nasir, R. Shauri, J. Jaafar
{"title":"Calibration of embedded force sensor for robotic hand manipulation","authors":"K. Nasir, R. Shauri, J. Jaafar","doi":"10.1109/CSPA.2016.7515859","DOIUrl":"https://doi.org/10.1109/CSPA.2016.7515859","url":null,"abstract":"This paper discusses the calibration of two-axis force sensors which were embedded into the fingertip of a three-fingered robot hand. In a previous work, a functioning prototype of the three-fingered robot hand has been successfully developed. However, the performance of the robot hand for grasping was insufficient. Therefore, the improved design fingertip was developed to enhance the existing design by incorporating force sensing ability for better grasping task. Two miniature load cells button were fitted into the fingertip to enable force sensing in two individual directions namely x-axis and z-axis. The calibration is implemented in both axes. The calibration results proved that the linearity calibration is relevant to be used as the reference force for force control development in the next phase.","PeriodicalId":314829,"journal":{"name":"2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116850123","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
Content based mode and depth skipping with Sharp and Directional Edges for intra prediction in Screen Content Coding 基于内容的模式和深度跳跃与锐利和定向边缘在屏幕内容编码内预测
2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2016-03-04 DOI: 10.1109/CSPA.2016.7515801
Yutaro Kawakami, Gaoxing Chen, T. Ikenaga
{"title":"Content based mode and depth skipping with Sharp and Directional Edges for intra prediction in Screen Content Coding","authors":"Yutaro Kawakami, Gaoxing Chen, T. Ikenaga","doi":"10.1109/CSPA.2016.7515801","DOIUrl":"https://doi.org/10.1109/CSPA.2016.7515801","url":null,"abstract":"Screen Content Coding (SCC) is the extension of High Efficiency Video Coding (HEVC). Main target of SCC is saving BD-rate for screen videos generated by computers. However encoding time is increased because of new intra modes named Intra Block Copy (IntraBC) and Palette mode to save BD-rate. This paper proposes Sharp Edge Based Classification (SE BC) and Directional Edge Based Classification (DEBC). SEBC classifies Largest Coding Units (LCUs) based on sharp edge features and DEBC classifies LCUs based on directional edge features. Then needless mode and depth are skipped. Experimental results show 10.9% time saving with 2.10% BD-rate increase in average for screen videos at the SCC reference software (SCM3.0 [1]).","PeriodicalId":314829,"journal":{"name":"2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128322055","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
Orthogonal Matching Pursuit with correction 带校正的正交匹配追踪
2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2016-03-04 DOI: 10.1109/CSPA.2016.7515840
N. Mourad, M. Sharkas, Mostafa M. Elsherbeny
{"title":"Orthogonal Matching Pursuit with correction","authors":"N. Mourad, M. Sharkas, Mostafa M. Elsherbeny","doi":"10.1109/CSPA.2016.7515840","DOIUrl":"https://doi.org/10.1109/CSPA.2016.7515840","url":null,"abstract":"Orthogonal Matching Pursuit (OMP) is the most popular greedy algorithm that has been developed to find a sparse solution vector to an under-determined linear system of equations. OMP follows the projection procedure to identify the indices of the support of the sparse solution vector. This paper shows that the least-squares (LS) procedure can perform better than the projection procedure in this regard. Consequently, a dummy algorithm called OMP-LS is constructed by replacing the projection step in the OMP algorithm by the proposed least-squares step. Simulations show that the proposed LS procedure has a great impact on improving the performance of the OMP algorithm. The structure of the OMP-LS is then modified by incorporating a backtracking step, which has the impact of correcting erroneously estimated indices. Therefore, the modified algorithm is referred to as OMP with correction (OMPc). The simulation results show that OMPc outperforms all the considered algorithms in most scenarios.","PeriodicalId":314829,"journal":{"name":"2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129651894","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
Deceptive Speech Detection based on sparse representation 基于稀疏表示的欺骗性语音检测
2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2016-03-04 DOI: 10.1109/CSPA.2016.7515793
Xiaohe Fan, Heming Zhao, Xueqin Chen, Cheng Fan, Shuxi Chen
{"title":"Deceptive Speech Detection based on sparse representation","authors":"Xiaohe Fan, Heming Zhao, Xueqin Chen, Cheng Fan, Shuxi Chen","doi":"10.1109/CSPA.2016.7515793","DOIUrl":"https://doi.org/10.1109/CSPA.2016.7515793","url":null,"abstract":"Generally, the extracted features of distinguishing deceptive speeches always focused on prosodic, vocal tract, lexical and glottal waveform features. The purpose of this paper is to examine the effectiveness of sparse coefficients for deception detection. In this paper, we firstly extract the Mel-Frequency Cepstrum Coefficient (MFCC) and Zero Crossing Rate (ZCR) from speech utterances as the input data of K-SVD algorithm to learn a mixture dictionary. And sparse coefficients are obtained by Orthogonal Matching Pursuit (OMP) algorithm. Then we use those coefficients as features to train Support Vector Machine (SVM) model and test the classifier accuracy based on the trained model. Finally, we present the experimental results of this approach and compare the results with the conventional features consisting of Short-Time, Pitch, Formant, and Duration based on corpus of Soochow University Speech Processing Researches-Deception Speech Detection Corpus (SUSP-DSD). It shows that sparse coefficients perform better than the conventional features in deception detection.","PeriodicalId":314829,"journal":{"name":"2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127493066","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
Waveform optimization techniques for bi-static Cognitive Radars 双静态认知雷达的波形优化技术
2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2016-03-04 DOI: 10.1109/CSPA.2016.7515815
Gaia Rossetti, S. Lambotharan
{"title":"Waveform optimization techniques for bi-static Cognitive Radars","authors":"Gaia Rossetti, S. Lambotharan","doi":"10.1109/CSPA.2016.7515815","DOIUrl":"https://doi.org/10.1109/CSPA.2016.7515815","url":null,"abstract":"We propose a convex optimization based waveform design technique for bi-static radars. The method exploits prior knowledge of the environment including clutter statistics to maximize accumulated target return signal power while keeping the disturbance power to unity at both the radar receivers. The problem was solved using an iterative optimization approach where the transmitted waveforms are determined using semi-definite programming while receiver filters are obtained using generalized eigenvalue decomposition. Simulation results demonstrate improved signal to disturbance ratio for both the radars.","PeriodicalId":314829,"journal":{"name":"2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129075423","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: 6
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