{"title":"People Detection under Occlusion in Multiple Camera Views","authors":"T. T. Santos, C. Morimoto","doi":"10.1109/SIBGRAPI.2008.25","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2008.25","url":null,"abstract":"This paper proposes a method to locate people on a reference plane using multiple cameras. Previous works rely on people trajectories and color models to solve occlusion.This new approach solves people detection under occlusion by accumulating evidence from multiple views instantaneously and does not rely on previous segmentation of individuals in foreground data or any tracking information.First, foreground data from one view, segmented using background subtraction, is projected onto the ground plane or reference image. The projected foreground of a second view overlaps the first projected foreground only on the points where the foreground intersects the ground plane.Thus, by accumulating the evidence from multiple views,people can be located by detecting local maxima on the accumulated reference image. Experimental results using publicly available data from PETSpsila06 [9] show that the method robustly locates people in very challenging situations with occlusion in most of the views. The locations on the ground plane can further be used for segmentation and tracking on each camera view under severe occlusion.","PeriodicalId":330622,"journal":{"name":"2008 XXI Brazilian Symposium on Computer Graphics and Image Processing","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130578719","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":"Regularized Simultaneous Super-Resolution with Automatic Determination of the Parameters","authors":"M. Zibetti, J. Mayer, F. Bazán","doi":"10.1109/SIBGRAPI.2008.21","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2008.21","url":null,"abstract":"We derive a novel method for automatic determination of the regularization parameters applicable for the class of simultaneous super-resolution (SR) algorithms. The proposed method is based on the classical joint maximum a posteriori (JMAP) estimation technique, which is a fast alternative to estimate the parameters. Unfortunately, the classical JMAP technique can be unstable and generates multiple local minima. In order to stabilize the JMAP estimation, while achieving a cost function with a unique global solution, we derive an improved solution by modeling the JMAP hyper parameters with a gamma prior distribution. Experimental results illustrate the effectiveness of the proposed method for automatic determination of the regularization parameters for the simultaneous SR. We also contrast the proposed method to a reference method named KNOWN. KNOWN is a MAP based simultaneous SR algorithm where the parameters are fixed, either known a priori or extracted from the high-resolution frames which are not usually available in practice.","PeriodicalId":330622,"journal":{"name":"2008 XXI Brazilian Symposium on Computer Graphics and Image Processing","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114024555","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}
A. Lopes, Camillo Jorge Santos Oliveira, A. Araújo
{"title":"Face Recognition Aiding Historical Photographs Indexing Using a Two-Stage Training Scheme and an Enhanced Distance Measure","authors":"A. Lopes, Camillo Jorge Santos Oliveira, A. Araújo","doi":"10.1109/SIBGRAPI.2008.19","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2008.19","url":null,"abstract":"In this work, we propose a 2D-PCA based face recognizer as a semi-automatic tool for helping indexing people in historical photographs. In the proposed recognizer we cope with the scarcity of training samples and the lack of precision of the detector using a training scheme in two stages. The first stage uses an external face database to compute an average face that is used as a reference either at the second training stage and at the recognition step. We also added an auxiliary distance measure we call relative distance to reorder the results generated by the original Euclidean-based distance measure for 2D-PCA. Experimental results with the ORL database as the external face database and a real collection of historical photographs have shown the viability of the proposed tool. These experiments also indicated that both improvements proposed were indeed able to increase recognition rates.","PeriodicalId":330622,"journal":{"name":"2008 XXI Brazilian Symposium on Computer Graphics and Image Processing","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130812979","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}
Darlan N. Brito, F. Pádua, R. Carceroni, G. Pereira
{"title":"Synchronizing Video Cameras with Non-overlapping Fields of View","authors":"Darlan N. Brito, F. Pádua, R. Carceroni, G. Pereira","doi":"10.1109/SIBGRAPI.2008.28","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2008.28","url":null,"abstract":"This paper describes a method to estimate the temporal alignment between N unsynchronized video sequences captured by cameras with non-overlapping fields of view. The sequences are recorded by stationary video cameras, with fixed intrinsic and extrinsic parameters. The proposed approach reduces the problem of synchronizing N non-overlapping sequences to the robust estimation of a single line in RN+1. This line captures all temporal relations between the sequences and a moving sensor in the scene, whose locations in the world coordinate system may be estimated at a constant sampling rate. Experimental results with real-world sequences show that our method can accurately align the videos.","PeriodicalId":330622,"journal":{"name":"2008 XXI Brazilian Symposium on Computer Graphics and Image Processing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133854913","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 General Self-Dual Adaptative Filtering Toggle Operator","authors":"L. Dorini, N. J. Leite","doi":"10.1109/SIBGRAPI.2008.13","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2008.13","url":null,"abstract":"In the mathematical morphology context, a filter is an operator that is increasing and idempotent. We propose an alternative way to build self-dual morphological filters, extending some results obtained for morphological centers to a different class of toggle operators whose decision rule is based on which primitive value is closer to the original one. With this new approach, a wider range of primitives can be considered without causing oscillations, a common problem in toggle mappings. We also explore the use of non-flat structuring elements which are shown to produce sharper filtered images. To evaluate the proposed approach, we carry out tests on images with different kinds of noise using different pairs of primitives. Experimental tests on Synthetic Aperture Radar (SAR) images show promising results, outperforming some well-known filters related to this type of pictures.","PeriodicalId":330622,"journal":{"name":"2008 XXI Brazilian Symposium on Computer Graphics and Image Processing","volume":"462 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122302055","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 Fast and Automatic Method for 3D Rigid Registration of MR Images of the Human Brain","authors":"F. O. Favretto, F. Bergo, A. Falcão","doi":"10.1109/SIBGRAPI.2008.33","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2008.33","url":null,"abstract":"Image registration is an important problem with several applications in medical imaging. Intra-subject rigid registration requires a minimal set of parameters to be computed, and is sufficient for organs with no significant movement or deformation, such as the human brain. Rigid registration has also been used as the first step before inter-subject deformable registration. In this paper we present a fast and automatic method for 3D rigid registration of magnetic resonance images of the human brain. The method combines previous approaches formid-sagittal plane location and brain segmentation with a greedy-search algorithm to find the best match between source and target images. We evaluated the method on 200 image pairs: 100 without structural abnormalities and 100 with artificially created lesions, such that it was possible to quantify the registration errors. The method achieved very accurate registration within a few seconds.","PeriodicalId":330622,"journal":{"name":"2008 XXI Brazilian Symposium on Computer Graphics and Image Processing","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127166232","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":"Exploratory Visualization of RFLP-PCR Genomic Data Using Multidimensional Scaling","authors":"S. E. Llerena, Carlos Dias Maciel","doi":"10.1109/SIBGRAPI.2008.42","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2008.42","url":null,"abstract":"Gel electrophoresis images are common results of biomolecular techniques such as RFLP-PCR (restriction fragment length polymorphism - polymerase chain reaction). These images are used to discover the genetic relations between organisms. Find patterns in these images are a complex and delayed work if it is performed by humans. Traditionally, the analysis of gel electrophoresis images has been done by biologist using dendrogram representations aiming to capture the relations between organisms in a hierarchical organization. However this representation may be hard to analyze, especially when the information becomes large. This highlights the need to seek new ways of representing this type of data that become more intuitive. One of that methods is MDS (Multidimensional Scaling) which is a method used to transform measurements of similarity (or dissimilarity) between pairs of objects into points in a low-dimensional space, allowing visualize the data in a form that makes it easier to interpret. This paper proposes a new procedure to represent RFLP-PCR images as points in a low-dimensional space, based in a MDS technique. The procedure was applied in a genomic dataset obtained from a Brazilian collection of N2-fixing bacterial strains belonging to the genus Bradyrhizobium. The results showed the efficacy of the procedure to represent the RFLP-PCR images, facilitating the identification of patterns in a more intuitive way than dendrogram's representations. Also, our procedure allows an appropriate integration with a pattern-recognition algorithm, taking advantages of the visual human skills and the computational power.","PeriodicalId":330622,"journal":{"name":"2008 XXI Brazilian Symposium on Computer Graphics and Image Processing","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121483955","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":"Three-Dimensional Transforms and Entropy Coders for a Fast Embedded Color Video Codec","authors":"Vanessa Testoni, M. H. M. Costa","doi":"10.1109/SIBGRAPI.2008.11","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2008.11","url":null,"abstract":"This work compares the performances of two fast 3-D transforms and two adaptive Golomb entropy coders applied to a video codec system named FEVC (fast embedded video codec). The compared transforms are Hadamard (4times4times4 and 8times8times8) and H.264/AVC integer DCT (4times4times4). The compared adaptive Golomb entropy coders have different operation modes and adaptation strategies. New 3-D implementation methods for the transforms are presented. After the scan procedure, the encoding of the 3-D coefficients is done, bit-plane-by-bit-plane, by the entropy coders, producing a fully embedded output bitstream. The FEVC (also described here) was developed to be implemented each of a large number of set-top boxes used in a fiber optics network. For that reason, it is focused on reduced complexity and execution time, not on high compression rates. The use of meager computational resources is also required. Even with these constraints, good distortion versus rate results were achieved.","PeriodicalId":330622,"journal":{"name":"2008 XXI Brazilian Symposium on Computer Graphics and Image Processing","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128107307","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":"Can Bilateral Asymmetry Analysis of Breast MR Images Provide Additional Information for Detection of Breast Diseases?","authors":"R. J. Ferrari, K. Hill, D. Plewes, Anne L. Martel","doi":"10.1109/SIBGRAPI.2008.10","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2008.10","url":null,"abstract":"This paper presents a new method for bilateral asymmetry analysis of breast MR images that uses directional statistics of the breast parenchymal edges, obtained from a multiresolution local energy edge detector, and image texture information derived from local energy maps, obtained by using a bank of log-Gabor filters. Classification of MRI scans into cancer and non-cancer categories was performed by linear discriminant analysis and the leave-one-out methodology. A total of 40 cases, 20 normal/benign (BI-RADS 1 and 2) and 20 malignant, taken from a high risk screening population,were used in this pilot study. Average classification accuracy of 70%(k=0.45 +- 0.14) with sensitivity and specificity of 75%and 65%, respectively, was achieved. The results obtained support the idea that bilateral asymmetry analysis of breast MR images can provide additional information for detection of breast tissue changes arising from diseases.","PeriodicalId":330622,"journal":{"name":"2008 XXI Brazilian Symposium on Computer Graphics and Image Processing","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122883242","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 Genetic Programming Approach for Relevance Feedback in Region-Based Image Retrieval Systems","authors":"J. A. D. Santos, C. Ferreira, R. Torres","doi":"10.1109/SIBGRAPI.2008.15","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2008.15","url":null,"abstract":"This paper presents a new relevance feedback method for content-based image retrieval using local image features. This method adopts a genetic programming approach to learn user preferences and combine the region similarity values in a query session. Experiments demonstrate that the proposed method yields more effective results than the local aggregation pattern (LAP)-based relevance feedback technique.","PeriodicalId":330622,"journal":{"name":"2008 XXI Brazilian Symposium on Computer Graphics and Image Processing","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126646123","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}