{"title":"Real-Time Object Detection in Embedded Video Surveillance Systems","authors":"Liliana Lo Presti, M. Cascia","doi":"10.1109/WIAMIS.2008.20","DOIUrl":"https://doi.org/10.1109/WIAMIS.2008.20","url":null,"abstract":"In this paper we report a new method to detect both moving objects and new stationary objects in video sequences. On the basis of temporal consideration we classify pixels into three classes: background, midground and foreground to distinguish between long-term, medium-term and short term changes. The algorithm has been implemented on a hardware platform with limited resources and it could be used in a wider system like a wireless sensor networks. Particular care has been put in realizing the algorithm so that the limited available resources are used in an efficient way. Experiments have been conducted on publicly available datasets and performance measures are reported.","PeriodicalId":196786,"journal":{"name":"Workshop on Image Analysis for Multimedia Interactive Services","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126269102","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":"Advanced Video Services Delivery over Heterogeneous Networks","authors":"T. Ahmed, Ingo Kofler, O. Negru","doi":"10.1109/WIAMIS.2008.68","DOIUrl":"https://doi.org/10.1109/WIAMIS.2008.68","url":null,"abstract":"Summary form only given. ADVISE special session aims to addresses an important issues related to Quality of Service (QoS) adaptation for the delivery of multimedia services over next generation wired/wireless networks. This session covers future multimedia communication systems that can be part of an end-to-end system by including support of the userpsilas needs and preferences and taking into consideration the terminal capabilities, the content specification and the underlying networking technologies. This session has papers presenting important results for handling QoS adaptation for multimedia content delivery.","PeriodicalId":196786,"journal":{"name":"Workshop on Image Analysis for Multimedia Interactive Services","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131205055","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":"Towards Automated Robust Vision-Based Surveillance","authors":"Noel E. O'Connor, Marzia Corvaglia","doi":"10.1109/WIAMIS.2008.66","DOIUrl":"https://doi.org/10.1109/WIAMIS.2008.66","url":null,"abstract":"Summary form only given. COST is one of the longest-running instruments funded by the EU RTD Framework Program. The members of the COST 292 action (see: http://www.cost292.org/) have a long tradition of involvement in WIAMIS, dating back to the establishment of this event. Since 2005, the action has been invited to organize a special session and this tradition was continued for WIAMIS 2008. This year, the special session focused on a subset of the broad research remit of the action. Specifically, the session targets research in the field of automated visual surveillance. This focus reflects a growing interest within COST 292 participants in this increasingly important area. The goal of this special session is to help bring together researchers working on this topic, both within COST 292 and beyond, with a view to stimulating future collaborative research in this area. The widely circulated call for papers targeted submissions on a broad range of topics covered by the above mentioned focus, including visual computation, event and activity modeling and analysis, multiple stream analysis, architectures, indexing and storage, coding and applications. All papers were peer reviewed by at least three reviewers drawn from a combination of the WIAMIS Technical Program Committee and a special Program Subcommittee set up specifically for this special session. Acceptance criteria considered overall quality as well as relevance to the topics of the special session. In the end, just 5 papers were accepted for oral presentation. The accepted papers address scene modeling, event detection, object recognition (human and non-human) and fusion of multiple complementary data sources.","PeriodicalId":196786,"journal":{"name":"Workshop on Image Analysis for Multimedia Interactive Services","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131249127","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":"Probabilistic Matching Algorithm for Keypoint Based Object Tracking Using a Delaunay Triangulation","authors":"Rémi Trichet, B. Mérialdo","doi":"10.1109/WIAMIS.2007.69","DOIUrl":"https://doi.org/10.1109/WIAMIS.2007.69","url":null,"abstract":"This article presents a matching algorithm developed for a generic object tracking system. Matching is a critical part for the effectiveness of tracking. The proposed method is a probabilistic algorithm inspired from the emerging \"discriminative random fields\". Points are associated according to their visual similarity and to spatial relations in their neighborhood, based on a Delaunay triangulation. Experimental results are presented to validate this contribution.","PeriodicalId":196786,"journal":{"name":"Workshop on Image Analysis for Multimedia Interactive Services","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115198894","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}
Alain C. Gonzalez, Juan Humberto Sossa Azuela, E. Riverón
{"title":"Image Retrieval based on Wavelet Computation and Neural Network Classification","authors":"Alain C. Gonzalez, Juan Humberto Sossa Azuela, E. Riverón","doi":"10.1109/WIAMIS.2007.51","DOIUrl":"https://doi.org/10.1109/WIAMIS.2007.51","url":null,"abstract":"We describe a simple way to retrieve images from a database. During training a wavelet-based description of the histogram of circular window of each image is first obtained using Daubechies 4- wavelet transformation. Resulting coefficients are used to train a neural network (NN). For image retrieval an image is presented to the system. The system responds with the most similar images. Results are given two different databases. With first database a 98.44% of efficiency with training images was obtained; a 50 % was obtained with images different from those used for training. With the second database corresponding efficiencies were of 88% and 64%.","PeriodicalId":196786,"journal":{"name":"Workshop on Image Analysis for Multimedia Interactive Services","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114935257","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}