F. Alonso-Fernandez, Julian Fierrez, J. Ortega-Garcia
{"title":"An enhanced Gabor filter-based segmentation algorithm for fingerprint recognition systems","authors":"F. Alonso-Fernandez, Julian Fierrez, J. Ortega-Garcia","doi":"10.1109/ISPA.2005.195416","DOIUrl":"https://doi.org/10.1109/ISPA.2005.195416","url":null,"abstract":"An important step in fingerprint recognition is the segmentation of the region of interest. In this paper, we present an enhanced approach for fingerprint segmentation based on the response of eight oriented Gabor filters. The performance of the algorithm has been evaluated in terms of decision error trade-off curves of an overall verification system. Experimental results demonstrate the robustness of the proposed method.","PeriodicalId":238993,"journal":{"name":"ISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, 2005.","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129762920","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}
{"title":"Fusion of multiple detectors for face and eyes localization","authors":"R. Belaroussi, M. Milgram, L. Prevost","doi":"10.1109/ISPA.2005.195378","DOIUrl":"https://doi.org/10.1109/ISPA.2005.195378","url":null,"abstract":"We present a new method dedicated to the localization of faces and eyes in color images. It combines different experts. A linear combination of three models (a connexionist model, an ellipse model, and a skin color model) is used for face localization. A product fusion of an eye model (Chinese transform) and a color model (modified GMM) find coarsely the eyes location. Then an \"AND \" operation between four sources of information extracted at these positions. This leads to a refined localization of the eyes.","PeriodicalId":238993,"journal":{"name":"ISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, 2005.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123082826","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}
{"title":"A validated method to help area reduction in mine action with remote sensing data","authors":"Y. Yvinec","doi":"10.1109/ISPA.2005.195442","DOIUrl":"https://doi.org/10.1109/ISPA.2005.195442","url":null,"abstract":"We present here a method to use remote sensing and GIS to help the task of area reduction in mine action. The goal is to synthesize all relevant information in thematic maps, called danger maps, that can be used as basis for area reduction. The information presented in the maps can be extracted from the remote sensing data, coming from the mine action centre mine information system (MIS) or be added after discussion with experts. The blind tests performed on mine-suspected areas in Croatia have shown that the method had a reduction rate of 26% and an error rate of 0.1%.","PeriodicalId":238993,"journal":{"name":"ISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, 2005.","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130259278","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}
{"title":"Analysis and pattern detection on large amounts of annotated sport motion data using standard SQL","authors":"J. Pers, S. Kovacic, Goran Vǔckovič","doi":"10.1109/ISPA.2005.195434","DOIUrl":"https://doi.org/10.1109/ISPA.2005.195434","url":null,"abstract":"This paper proposes a inexpensive and flexible way to analyze large amounts of sport motion data, which are generated by automated motion tracking methods and complemented with manual annotations. A database, obtained by tracking and annotating over 100 squash plays was used. The goal was to find a way to automatically detect certain kinds of play, activities, certain predefined scenarios and to generate various statistics about these activities - without hard-coding them in the executable code. We found that SQL-enabled databases provide a flexible and scalable solution to this problem. The examples of actual SQL queries for sport analysis are presented in the paper along with short tutorial on particular aspects of SQL language, which were exploited in our solution.","PeriodicalId":238993,"journal":{"name":"ISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, 2005.","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131211142","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}
L. Andreone, F. Bellotti, A. De Gloria, R. Lauletta
{"title":"SVM-based pedestrian recognition on near-infrared images","authors":"L. Andreone, F. Bellotti, A. De Gloria, R. Lauletta","doi":"10.1109/ISPA.2005.195422","DOIUrl":"https://doi.org/10.1109/ISPA.2005.195422","url":null,"abstract":"This paper describes the algorithms we developed for a new automotive night vision system for pedestrian detection based on near infrared (NIR) illuminators and sensors. The system applies in the night domain the SVM technique, which has already been successfully implemented in day-light applications, in this project we have developed optimizations in order to meet accuracy and time performance requirement for in-vehicle deployments. In particular, we present a novel pre-SVM processing technique, which performs pixel-level and multi-resolution analysis in order to discard portions of the frame that are not likely to contain pedestrians. This procedure allows exploiting the SVM as a very accurate classifier focused on the most critical cases.","PeriodicalId":238993,"journal":{"name":"ISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, 2005.","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132467636","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}
{"title":"Fast algorithms of hypercomplex calculations: parallel approach","authors":"M. Chicheva, M. Aliev, A. Yershov","doi":"10.1109/ISPA.2005.195391","DOIUrl":"https://doi.org/10.1109/ISPA.2005.195391","url":null,"abstract":"We consider technique for parallelization of computation with hypercomplex numbers in multidimensional space for signal processing purposes. In particular, parallel algorithms of the multidimensional hypercomplex discrete Fourier transform are developed. Results of their experimental research are shown.","PeriodicalId":238993,"journal":{"name":"ISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, 2005.","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133817496","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}
{"title":"Human tracking by mode seeking","authors":"Csaba Beleznai, B. Fruhstuck, H. Bischof","doi":"10.1109/ISPA.2005.195374","DOIUrl":"https://doi.org/10.1109/ISPA.2005.195374","url":null,"abstract":"Change detection by background subtraction is a common approach to detect moving foreground. The resulting difference image is usually thresholded to obtain objects based on pixel connectedness and resulting blob objects are subsequently tracked. This paper proposes a detection approach not requiring the binarization of the difference image. Local density maxima in the difference image - usually representing moving objects - are outlined by a fast non-parametric mean shift clustering procedure. Object tracking is carried out by updating and propagating cluster parameters over time using the mode seeking property of the mean shift procedure. For occluding targets, a fast procedure determining the object configuration maximizing image likelihood is presented. Detection and tracking results are demonstrated for a crowded scene and evaluation of the proposed tracking framework is presented.","PeriodicalId":238993,"journal":{"name":"ISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, 2005.","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114182451","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}
{"title":"Fast facial motion cloning in MPEG-4","authors":"M. Fratarcangeli, M. Schaerf","doi":"10.1109/ISPA.2005.195429","DOIUrl":"https://doi.org/10.1109/ISPA.2005.195429","url":null,"abstract":"Facial motion cloning (FMC) is the technique employed to transfer the motion of a virtual face (namely, the source,) to a mesh representing another face (the target,), generally having a different geometry and topology. We present a novel FMC method relying on the combination of the radial basis functions (RBF) based scattered data interpolation with the encoding capabilities of the MPEG-4 facial and body animation (FBA) international standard. Starting from a manually picked set of correspondences, we find a scattered data interpolation function that precisely fit the source face mesh into the target one. Then, all the MPEG-4 FBA basic movements (encoded as morph targets) of the source face are deformed using the same function and the deformations are mapped to the corresponding vertices of the target mesh. By doing this, we obtain, in a straightforward and simple way, the animatable MPEG-4 compliant version of the target face in a short amount of time.","PeriodicalId":238993,"journal":{"name":"ISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, 2005.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123861373","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}
{"title":"Frequency response masking based design of two-channel FIR filterbanks with rational sampling factors and reduced implementation complexity","authors":"R. Bregović, Y. Lim, T. Saramaki","doi":"10.1109/ISPA.2005.195395","DOIUrl":"https://doi.org/10.1109/ISPA.2005.195395","url":null,"abstract":"Previous work has shown that the implementation complexity of a two-channel filterbank (FB) with rational sampling factors can be reduced by exploiting the frequency-response masking approach (FRM) technique for designing finite-impulse response (FIR) building-block filters in this bank compared with the use of direct-form FIR filters. This paper shows that by designing FRM filters building the FB in such a way that the periodic filters are evaluated at the input sampling rate and the masking filters at the output sampling rate, the design as well as the implementation complexity can be further reduced when compared with the designs obtained by using other existing techniques. This is illustrated by means of an example.","PeriodicalId":238993,"journal":{"name":"ISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, 2005.","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114529266","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}
{"title":"Wavelet time-scale dependencies for signal and image compression","authors":"V. Bruni, B. Piccoli, D. Vitulano","doi":"10.1109/ISPA.2005.195392","DOIUrl":"https://doi.org/10.1109/ISPA.2005.195392","url":null,"abstract":"In this paper, an evolution law through scales for modulus maxima of the wavelet transform of a signal is proposed. It corresponds to an atomic approximation of wavelet detail bands. Although this result is very general and useful for various fields of image processing, we focus on its application to signal and image compression. We propose a simple trick for taking advantage from the law without directly solving its corresponding partial differential equation. Preliminary experimental results show that the proposed approach outperforms available compression techniques.","PeriodicalId":238993,"journal":{"name":"ISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, 2005.","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129461624","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}