Results 271 to 280 of about 4,286,679 (321)
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2011 18th IEEE International Conference on Image Processing, 2011
In this paper, we propose a tracking algorithm which combines two complementary trackers together to supervise each other in dealing with different tracking problems. We design a region tracker based on high-level structure information (incremental PCA), and an object tracker based on mid-level visual cues, and adopt multi-state particle filter to ...
Shu Wang, Huchuan Lu, Guang Yang
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In this paper, we propose a tracking algorithm which combines two complementary trackers together to supervise each other in dealing with different tracking problems. We design a region tracker based on high-level structure information (incremental PCA), and an object tracker based on mid-level visual cues, and adopt multi-state particle filter to ...
Shu Wang, Huchuan Lu, Guang Yang
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Deep Learning in Visual Tracking: A Review
IEEE Transactions on Neural Networks and Learning Systems, 2021Deep learning (DL) has made breakthroughs in many computer vision tasks and also in visual tracking. From the beginning of the research on the automatic acquisition of high abstract feature representation, DL has gone deep into all aspects of tracking to
L. Jiao +4 more
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MultiMedia and visualization track
Proceedings of the 2005 ACM symposium on Applied computing, 2004The MultiMedia and Visualization (MMV) track has been a popular track because of its appeal for the current trends in daily life applications. Visualization is the key to comprehending the continuously changing complex phenomena around us. Multimedia combines information from local and remote sources.
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Eye Tracking for Visual Marketing
Foundations and Trends® in Marketing, 2006We provide the theory of visual attention and eye-movements that serves as a basis for evaluating eye-tracking research and for discussing salient and emerging issues in visual marketing. Motivated from its rising importance in marketing practice and its potential for theoretical contribution, we first review eye-tracking research for visual marketing.
Wedel, M., Pieters, R.
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Active matching for visual tracking
Robotics and Autonomous Systems, 2009In the feature matching tasks which form an integral part of visual tracking or SLAM (Simultaneous Localisation And Mapping), there are invariably priors available on the absolute and/or relative image locations of features of interest. Usually, these priors are used post-hoc in the process of resolving feature matches and obtaining final scene ...
Chli, Margarita, Davison, Andrew J.
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Visual node prediction for visual tracking
Multimedia Systems, 2019A novel visual tracking algorithm based on visual node (VN) prediction is proposed in this paper. First, we count the distribution area and gray levels of the larger probability density in the VN. Then, all the frequencies of the VN are calculated, of which the weaker frequency gradient is removed by filtration.
Heng Yuan +3 more
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2018
Moving object tracking is to find out the candidate object region which is the most similar area in the image sequence through the effective expression of the object, that is to locate the target in the sequence image so as to obtain the complete motion trajectory of the moving target.
Shengrong Gong +5 more
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Moving object tracking is to find out the candidate object region which is the most similar area in the image sequence through the effective expression of the object, that is to locate the target in the sequence image so as to obtain the complete motion trajectory of the moving target.
Shengrong Gong +5 more
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Tracking visual segmentation: connecting semiotic and cognitive perspectives
Visual Communication, 2012This article introduces a new methodology for deriving the dynamics of visual segmentation in relation to the underlying cognitive processes involved. The method combines social semiotics approaches to visual segmentation with eye-tracking studies on authentic image viewing and simultaneous image description.
Boeriis, Morten, Holsanova, Jana
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Word-Sized Eye-Tracking Visualizations
2017In user studies, eye tracking is often used in combination with other recordings, such as think-aloud protocols. However, it is difficult to analyze the eye-tracking data and transcribed recordings together because of missing data alignment and integration.
Beck, Fabian +3 more
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Special track on Multimedia and Visualization track
Proceedings of the 2008 ACM symposium on Applied computing, 2008The MultiMedia and Visualization (MMV) track has been a popular track because of its appeal for the current trends in daily life applications. Visualization is the key to comprehending the continuously changing complex phenomena around us. Multimedia combines information from local and remote sources.
Chaman Lal Sabharwal, Mingjun Zhang
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