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Titlebook: Computer Vision -- ACCV 2009; 9th Asian Conference Hongbin Zha,Rin-ichiro Taniguchi,Stephen Maybank Conference proceedings 2010 Springer-Ve

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發(fā)表于 2025-3-21 20:02:06 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computer Vision -- ACCV 2009
副標(biāo)題9th Asian Conference
編輯Hongbin Zha,Rin-ichiro Taniguchi,Stephen Maybank
視頻videohttp://file.papertrans.cn/235/234098/234098.mp4
概述State of the art research in computer vision.Most important conference related to computer vision in Asia.Thoroughly reviewed post conference proceedings
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computer Vision -- ACCV 2009; 9th Asian Conference Hongbin Zha,Rin-ichiro Taniguchi,Stephen Maybank Conference proceedings 2010 Springer-Ve
描述It givesus greatpleasureto presentthe proceedings of the 9th Asian Conference on Computer Vision (ACCV 2009), held in Xi’an, China, in September 2009. This was the ?rst ACCV conference to take place in mainland China. We received a total of 670 full submissions, which is a new record in the ACCV series. Overall, 35 papers were selected for oral presentation and 131 as posters, yielding acceptance rates of 5.2% for oral, 19.6% for poster, and 24.8% in total. In the paper reviewing, we continued the tradition of previous ACCVsbyconductingtheprocessinadouble-blindmanner.Eachofthe33Area Chairs received a pool of about 20 papers and nominated a number of potential reviewers for each paper. Then, Program Committee Chairs allocated at least three reviewers to each paper, taking into consideration any con?icts of interest and the balance of loads. Once the reviews were ?nished, the Area Chairs made summaryreportsforthepapersintheirpools,basedonthereviewers’comments and on their own assessments of the papers.
出版日期Conference proceedings 2010
關(guān)鍵詞3D vision; H; 264; SVM; Texturing; action recognition; active contour models; algorithms; biometrics; classif
版次1
doihttps://doi.org/10.1007/978-3-642-12304-7
isbn_softcover978-3-642-12303-0
isbn_ebook978-3-642-12304-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2010
The information of publication is updating

書目名稱Computer Vision -- ACCV 2009影響因子(影響力)




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書目名稱Computer Vision -- ACCV 2009讀者反饋學(xué)科排名




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Postmarketing Surveillance (PMS),ing to improving the performance of tracking in complex environment, such as light condition, significant pose and scale variation, temporary complete occlusion and abnormal motion. A series of experimental results show the good performance of the proposed method.
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Postmarketing Surveillance (PMS),is in scale-space to better account for the effect of resizing. By leveraging integral images, we develop an efficient coarse-to-fine solution that combines exhaustive coarse and gradient-based fine search, which we term scale-space spatiotemporal saliency tracking. Experiments on real-world videos
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Hierarchical Model for Joint Detection and Tracking of Multi-targetlearned detectors; (2) a top-down channel, which estimates the individual target state with joint probabilistic data association; (3) a context sensitive reasoning channel, which finalizes the estimation of the joint state with belief propagation. Additionally, an interaction mechanism between detec
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Heavy-Tailed Model for Visual Tracking via Robust Subspace Learninging to improving the performance of tracking in complex environment, such as light condition, significant pose and scale variation, temporary complete occlusion and abnormal motion. A series of experimental results show the good performance of the proposed method.
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