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標(biāo)題: Titlebook: Intelligent Video Event Analysis and Understanding; Jianguo Zhang,Ling Shao,Graeme A. Jones Book 2010 Springer-Verlag Berlin Heidelberg 20 [打印本頁]

作者: calcification    時間: 2025-3-21 18:00
書目名稱Intelligent Video Event Analysis and Understanding影響因子(影響力)




書目名稱Intelligent Video Event Analysis and Understanding影響因子(影響力)學(xué)科排名




書目名稱Intelligent Video Event Analysis and Understanding網(wǎng)絡(luò)公開度




書目名稱Intelligent Video Event Analysis and Understanding網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Intelligent Video Event Analysis and Understanding被引頻次




書目名稱Intelligent Video Event Analysis and Understanding被引頻次學(xué)科排名




書目名稱Intelligent Video Event Analysis and Understanding年度引用




書目名稱Intelligent Video Event Analysis and Understanding年度引用學(xué)科排名




書目名稱Intelligent Video Event Analysis and Understanding讀者反饋




書目名稱Intelligent Video Event Analysis and Understanding讀者反饋學(xué)科排名





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Alexandre Hervieu,Patrick Bouthemylogies, millions of articles are stored and indexed in the digital libraries. Among this archived scientific literature, thousands of newly emerging algorithms, mostly illustrated with pseudo-codes, are published every year in the area of Computer Science and other related computational fields. Prev
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ics. Based on funding from the NSF and several other US agencies, the AI Lab has developed techniques for collecting, managing and analyzing large-scale multilingual and multimedia social media contents of relevance to social, geopolitical, and business applications. Our projects aim to study and un
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The Understanding of Meaningful Events in Gesture-Based Interaction,ognition algorithms as well as with the increasing availability of personal (mobile) devices, ambient media displays and interactive surfaces. Vision-based technology is the preferred choice when non-intrusiveness, unobtrusiveness and comfortable interactions are being sought. However, it also comes
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Gait Analysis and Human Motion Tracking, by a single camera attached to a pedestrian. In the first phase, the parameters of the human gait are established by a classical frame-by-frame analysis, using an generalised least squares (GLS) technique. The gait model is non-linear, represented by a truncated Fourier series. In the second phase,
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Fusion of Motion and Appearance for Robust People Detection in Cluttered Scenes,tered scenes with low resolution image sequences. Our model utilises both human appearance and their long-term motion information through a fusion formulated in a Bayesian framework. In particular, we introduce a spatial pyramid Gaussian Mixture approach to model variations of long-term human motion
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Book 2010ideos have been surging, and need to be efficiently processed or organized based on interest. The human visual perception system could, without difficulty, interpret and r- ognize thousands of events in videos, despite high level of video object clutters, different types of scene context, variabilit
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Gait Analysis and Human Motion Tracking,how that the use of the gait model results in more efficient tracking. This is demonstrated by improved matching and retention of features, and a reduction in execution time, when processing video sequences.
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Event Understanding of Human-Object Interaction: Object Movement Detection via Stable Changes,rson is sitting down), we employ motion history of changed regions. In addition, to classify object placement and object removal, we use multiple-layered background model, called the layered background model and edge subtraction technique. The experiment shows the system can detect objects robustly and in sufficient frame-rates.
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Real-Time Face Recognition from Surveillance Video,ctor is constructed from ratios of lengths and differences in tangents of angles, so as to be robust to changes in scale and rotations in-plane and out-of-plane. Consideration was given to improving the performance and accuracy of both the detection and recognition steps.
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1860-949X video event categorisation and recognition, e. g. , from modelling events with bag of spatial temporal features to discovering event context, from detecting events using a single camera to inferring events thro978-3-662-50585-4978-3-642-17554-1Series ISSN 1860-949X Series E-ISSN 1860-9503
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Book 2010teractions, etc. In recent years, steady progress has been made towards better models for video event categorisation and recognition, e. g. , from modelling events with bag of spatial temporal features to discovering event context, from detecting events using a single camera to inferring events thro
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Radu-Daniel Vatavunt of view of human users as well as considering possible elaborated text mining applications. Automatic spell checking and correction of the data is also difficult due to the historical spelling variants and low OCR quality level of the material..This paper discusses the overall situation of the in
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Jianguo Zhang,Shaogang Gong In developing countries, different forms of negative attitudes towards digitisation hinder progress in digital preservation management. Owners of cultural heritage resources fear permanent loss of their heritage, key stakeholders lack interest in heritage digitisation, and information professionals
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Michael Davis,Stefan Popov,Cristina Surlea In developing countries, different forms of negative attitudes towards digitisation hinder progress in digital preservation management. Owners of cultural heritage resources fear permanent loss of their heritage, key stakeholders lack interest in heritage digitisation, and information professionals
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Shigeyuki Odashima,Taketoshi Mori,Masamichi Simosaka,Hiroshi Noguchi,Tomomasa Satoritten by the same author) with at most 0.2 coefficient of Entropy error. While our deep learning based model consistently shows above 95% accuracy across all the given testing samples of publications written by an author with an average loss of 0.21.
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The Understanding of Meaningful Events in Gesture-Based Interaction,ven more, when gestures are being correctly detected and recognized by the system with the appropriate feedback delivered to the human, the result is that gestures become themselves events in the human-computer dialogue: the commands were understood and the system reacted back..This chapter addresse
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