Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204569
Mary Agoyi, Devrim Seral
As the use of multimedia technology increases, its copyright protection and content authentication has become an issue to be addressed. Watermarking is a known technology that can help protect multimedia contents from illegal copying and access protection. Multimedia Watermarking based on discrete wavelet transform, which has been the most widespread technology for securing multimedia, is not shift invariant. This study introduces multimedia watermarking scheme based a nearly shift invariant double density dual-Tree discrete wavelet transform (DD-DT-DWT), in combination with singular value decomposition (SVD). The experimental results shows that multimedia watermarking based on DD-DT-DWT-SVD is more robust as compared to watermarking based on DWT, DWT-SVD, and DD-DT-DWT.
{"title":"A Multimedia Watermark scheme based on double density dual-Tree discrete wavelet transform and singular value decomposition","authors":"Mary Agoyi, Devrim Seral","doi":"10.1109/SIU.2012.6204569","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204569","url":null,"abstract":"As the use of multimedia technology increases, its copyright protection and content authentication has become an issue to be addressed. Watermarking is a known technology that can help protect multimedia contents from illegal copying and access protection. Multimedia Watermarking based on discrete wavelet transform, which has been the most widespread technology for securing multimedia, is not shift invariant. This study introduces multimedia watermarking scheme based a nearly shift invariant double density dual-Tree discrete wavelet transform (DD-DT-DWT), in combination with singular value decomposition (SVD). The experimental results shows that multimedia watermarking based on DD-DT-DWT-SVD is more robust as compared to watermarking based on DWT, DWT-SVD, and DD-DT-DWT.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"29 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129444543","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}
Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204746
M. Altınkaya, E. Kuruoğlu
Chemical Langevin Equation (CLE) describes a useful approximation in stochastic modeling of chemical reactions. CLE-based τ-leaping algorithm updates the quantities of every molecule in a reaction system with a period of τ, firing every reaction in the system so many times that the concentration of each molecule can be assumed to remain in the current concentration state. Substituting the Brownian motion in the CLE with a Levy flight, one might expect the CLE to converge more rapidly. This work shows that alpha (Levy)-stable increments can be used in τ-leaping, demonstrating it with the example of a detailed kinetic model describing the enzymatic transgalactosylation reaction during lactulose hydrolysis.
{"title":"Modeling enzymatic reactions via chemical Langevin-Levy equation","authors":"M. Altınkaya, E. Kuruoğlu","doi":"10.1109/SIU.2012.6204746","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204746","url":null,"abstract":"Chemical Langevin Equation (CLE) describes a useful approximation in stochastic modeling of chemical reactions. CLE-based τ-leaping algorithm updates the quantities of every molecule in a reaction system with a period of τ, firing every reaction in the system so many times that the concentration of each molecule can be assumed to remain in the current concentration state. Substituting the Brownian motion in the CLE with a Levy flight, one might expect the CLE to converge more rapidly. This work shows that alpha (Levy)-stable increments can be used in τ-leaping, demonstrating it with the example of a detailed kinetic model describing the enzymatic transgalactosylation reaction during lactulose hydrolysis.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"31 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128565647","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}
Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204808
E. Gedik, U. Çinar, E. Karaman, Y. Yardimci, U. Halici, S. K. Pakin
In this study, an automatic and rule based approach which extracts bridges over water in satellite images is developed. To find the bridges in the image, possible water regions are first found using thresholding and clustering methods. Candidate bridge regions are then extracted by applying morphological operations to the water mask. Also the algorithm proposes an optional verification step that uses geometric constraints and orientation information to increase precision values. The proposed algorithm is tested on different satellite images and the quantitative and visual results that were obtained showed that the algorithm is effective on extracting bridges of different sizes.
{"title":"A rule based approach for detecting bridges from high resolution electro-optic satellite images","authors":"E. Gedik, U. Çinar, E. Karaman, Y. Yardimci, U. Halici, S. K. Pakin","doi":"10.1109/SIU.2012.6204808","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204808","url":null,"abstract":"In this study, an automatic and rule based approach which extracts bridges over water in satellite images is developed. To find the bridges in the image, possible water regions are first found using thresholding and clustering methods. Candidate bridge regions are then extracted by applying morphological operations to the water mask. Also the algorithm proposes an optional verification step that uses geometric constraints and orientation information to increase precision values. The proposed algorithm is tested on different satellite images and the quantitative and visual results that were obtained showed that the algorithm is effective on extracting bridges of different sizes.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130781838","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}
Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204515
Gurkan Tuna, V. C. Gungor, K. Gulez
This paper presents design considerations of a GPS-aided localization system for unmanned vehicles used in outdoor applications. The system proposed in this paper is based on Extended Kalman Filter (EKF) and also integrates Global Positioning System (GPS) measurements. Localization and navigation systems are base components of all unmanned vehicles since they give unmanned vehicles the ability of perceiving the environment in order to localize themselves and to navigate to a target. The advantage of the proposed system over a GPS based localization system is that the system works even if the GPS receiver does not receive any GPS signals. In this study, firstly proposed EKF-based localization system is explained, and then how to integrate GPS measurements into this localization system is explained. With simulation studies in MATLAB, the effectiveness of the system is shown. The simulations show that the proposed localization system gives accurate results with negligible positional errors.
{"title":"GPS aided Extended Kalman Filter based localization for unmanned vehicles","authors":"Gurkan Tuna, V. C. Gungor, K. Gulez","doi":"10.1109/SIU.2012.6204515","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204515","url":null,"abstract":"This paper presents design considerations of a GPS-aided localization system for unmanned vehicles used in outdoor applications. The system proposed in this paper is based on Extended Kalman Filter (EKF) and also integrates Global Positioning System (GPS) measurements. Localization and navigation systems are base components of all unmanned vehicles since they give unmanned vehicles the ability of perceiving the environment in order to localize themselves and to navigate to a target. The advantage of the proposed system over a GPS based localization system is that the system works even if the GPS receiver does not receive any GPS signals. In this study, firstly proposed EKF-based localization system is explained, and then how to integrate GPS measurements into this localization system is explained. With simulation studies in MATLAB, the effectiveness of the system is shown. The simulations show that the proposed localization system gives accurate results with negligible positional errors.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131356060","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}
Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204589
Serdar Çakır, A. O. Karali, T. Aytaç
In this work, an Euclid distance based decision fusion framework for the trackers running on the feature sequences extracted from different band images is proposed. In the experiments, four correlation based scale invariant tracker are run on intensity and edge image sequences extracted from the visual and infrared bands. The target locations obtained from each tracker are fused using the proposed method. The experimental studies show that, the proposed tracker decision fusion scheme makes the tracker more robust to track loss conditions.
{"title":"A method for decision fusion of target trackers running on different band image sequences","authors":"Serdar Çakır, A. O. Karali, T. Aytaç","doi":"10.1109/SIU.2012.6204589","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204589","url":null,"abstract":"In this work, an Euclid distance based decision fusion framework for the trackers running on the feature sequences extracted from different band images is proposed. In the experiments, four correlation based scale invariant tracker are run on intensity and edge image sequences extracted from the visual and infrared bands. The target locations obtained from each tracker are fused using the proposed method. The experimental studies show that, the proposed tracker decision fusion scheme makes the tracker more robust to track loss conditions.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130195251","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}
Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204427
A. Elibol, N. Gracias, Rafael García
Owing to the rapid developments on obtaining optical data from areas beyond human reach, there is a high demand from different scientists for creating large-area image mosaics often using images as the only source of information. One of the most important steps in the mosaicing process is the motion estimation between overlapping images to obtain the topology, i.e, the spatial relationships between images. In this paper, we propose a generic framework for feature-based image mosaicing capable of obtaining the topology with a reduced number of matching attempts. It is presented an environmental application of this mosaicing approach to monitoring coral reefs.
{"title":"Efficient image mosaicing for optical underwater mapping","authors":"A. Elibol, N. Gracias, Rafael García","doi":"10.1109/SIU.2012.6204427","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204427","url":null,"abstract":"Owing to the rapid developments on obtaining optical data from areas beyond human reach, there is a high demand from different scientists for creating large-area image mosaics often using images as the only source of information. One of the most important steps in the mosaicing process is the motion estimation between overlapping images to obtain the topology, i.e, the spatial relationships between images. In this paper, we propose a generic framework for feature-based image mosaicing capable of obtaining the topology with a reduced number of matching attempts. It is presented an environmental application of this mosaicing approach to monitoring coral reefs.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127618691","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}
Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204813
Cagri Guvenel, Ahmet Tekyildiz, Cagin Turkoglu, C. Yildiz, Ayhan Kucukmanisa, A. Çelebi, O. Urhan, M. Güllü, S. Ertürk
In this paper an uncooled infrared camera with embedded target detection and tracking capability is presented. The camera is built upon four main electronic cards. Sensor card is designed to read and digitize the analog output signal generated by the infrared (IR) imaging sensor. FPGA card carries out the control process of the data transfer between sensor card and other peripherals. Target detection/tracking task is on the row image data provided by the FPGA card is carried out on the DSP card. Frame thresholding and differencing methods are used for target detection. Kalman filter is utilized for target tracking. According to the experimental results, camera is capable of performing target detection and tracking tasks in real time.
{"title":"An uncooled infrared camera with embedded real-time target tracking capability","authors":"Cagri Guvenel, Ahmet Tekyildiz, Cagin Turkoglu, C. Yildiz, Ayhan Kucukmanisa, A. Çelebi, O. Urhan, M. Güllü, S. Ertürk","doi":"10.1109/SIU.2012.6204813","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204813","url":null,"abstract":"In this paper an uncooled infrared camera with embedded target detection and tracking capability is presented. The camera is built upon four main electronic cards. Sensor card is designed to read and digitize the analog output signal generated by the infrared (IR) imaging sensor. FPGA card carries out the control process of the data transfer between sensor card and other peripherals. Target detection/tracking task is on the row image data provided by the FPGA card is carried out on the DSP card. Frame thresholding and differencing methods are used for target detection. Kalman filter is utilized for target tracking. According to the experimental results, camera is capable of performing target detection and tracking tasks in real time.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115986348","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}
Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204712
Osman Günay, B. U. Töreyin, Kivanç Köse, A. Cetin
In this paper, an entropy functional based online adaptive decision fusion framework is developed for image analysis and computer vision applications. In this framework, it is assumed that the compound algorithm consists of several sub-algorithms, each of which yields its own decision as a real number centered around zero, representing the confidence level of that particular sub-algorithm. Decision values are linearly combined with weights which are updated online according to an active fusion method based on performing entropic projections onto convex sets describing sub-algorithms. It is assumed that there is an oracle, who is usually a human operator, providing feedback to the decision fusion method. A video based wildfire detection system was developed to evaluate the performance of the decision fusion algorithm.
{"title":"Entropy functional based adaptive decision fusion framework","authors":"Osman Günay, B. U. Töreyin, Kivanç Köse, A. Cetin","doi":"10.1109/SIU.2012.6204712","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204712","url":null,"abstract":"In this paper, an entropy functional based online adaptive decision fusion framework is developed for image analysis and computer vision applications. In this framework, it is assumed that the compound algorithm consists of several sub-algorithms, each of which yields its own decision as a real number centered around zero, representing the confidence level of that particular sub-algorithm. Decision values are linearly combined with weights which are updated online according to an active fusion method based on performing entropic projections onto convex sets describing sub-algorithms. It is assumed that there is an oracle, who is usually a human operator, providing feedback to the decision fusion method. A video based wildfire detection system was developed to evaluate the performance of the decision fusion algorithm.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"12 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120834860","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}
Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204724
Ali Can Karaca, A. Ertürk, M. Güllü, Muharrem Elmas, S. Ertürk
Hyperspectral imaging systems provide many images resulting from spectral representations of scanned 2D surfaces. Analysis of questioned documents in forensic investigations can be realized by using hyperspectral imaging techniques. In this study we present the usage of a method, which technically depends on basic theories and approaches is presented in detail. This is realized by our hyperspectral imaging system. This system is used to measure the spectra of 2D surfaces. The tests in this study are conducted using different pens and papers. Satisfactory results are obtained, and interpreted, through the analysis of the obtained data.
{"title":"Analysis of evidence in forensic documents using hyperspectral imaging system","authors":"Ali Can Karaca, A. Ertürk, M. Güllü, Muharrem Elmas, S. Ertürk","doi":"10.1109/SIU.2012.6204724","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204724","url":null,"abstract":"Hyperspectral imaging systems provide many images resulting from spectral representations of scanned 2D surfaces. Analysis of questioned documents in forensic investigations can be realized by using hyperspectral imaging techniques. In this study we present the usage of a method, which technically depends on basic theories and approaches is presented in detail. This is realized by our hyperspectral imaging system. This system is used to measure the spectra of 2D surfaces. The tests in this study are conducted using different pens and papers. Satisfactory results are obtained, and interpreted, through the analysis of the obtained data.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121117206","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}
Pub Date : 2012-04-18DOI: 10.1109/SIU.2012.6204430
Cansu Gonulalan, U. Leloglu, U. Sakarya
Automated Firearms Identification (AFI) systems assist to shed lights on criminal events by comparing evidences on cartridge cases and bullets and by matching similar ones that were fired from the same firearm. However, comparison process is difficult due to increased amount of incidents. Therefore, firearm brand detection is a useful step for the ballistic investigations to limit the comparison set and to increase the performance. In this paper, we propose global shape characteristics based classification for firearm brand detection. The proposed method makes use of autocorrelation function and power spectral density of the cartridge case area to extract the features related to global shape characteristics.
{"title":"Global shape characteristics based classification for firearm brand detection","authors":"Cansu Gonulalan, U. Leloglu, U. Sakarya","doi":"10.1109/SIU.2012.6204430","DOIUrl":"https://doi.org/10.1109/SIU.2012.6204430","url":null,"abstract":"Automated Firearms Identification (AFI) systems assist to shed lights on criminal events by comparing evidences on cartridge cases and bullets and by matching similar ones that were fired from the same firearm. However, comparison process is difficult due to increased amount of incidents. Therefore, firearm brand detection is a useful step for the ballistic investigations to limit the comparison set and to increase the performance. In this paper, we propose global shape characteristics based classification for firearm brand detection. The proposed method makes use of autocorrelation function and power spectral density of the cartridge case area to extract the features related to global shape characteristics.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121277052","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}
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