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Results 11 - 20
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2,535
Protecting Moving Trajectories with Dummies
"... Abstract—Dummy-based anonymization techniques for protecting location privacy of mobile users have been proposed in the literature. By generating dummies that move in humanlike trajectories, [8] shows that location privacy of mobile users can be preserved. However, by monitoring long-term movement p ..."
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Cited by 30 (0 self)
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Abstract—Dummy-based anonymization techniques for protecting location privacy of mobile users have been proposed in the literature. By generating dummies that move in humanlike trajectories, [8] shows that location privacy of mobile users can be preserved. However, by monitoring long-term movement
TraClass: Trajectory Classification Using Hierarchical Region-Based and Trajectory-Based Clustering
, 2008
"... Trajectory classification, i.e., model construction for predicting the class labels of moving objects based on their trajectories and other features, has many important, real-world applications. A number of methods have been reported in the literature, but due to using the shapes of whole trajectori ..."
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Cited by 41 (2 self)
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trajectories for classification, they have limited classification capability when discriminative features appear at parts of trajectories or are not relevant to the shapes of trajectories. These situations are often observed in long trajectories spreading over large geographic areas. Since an essential task
Trajectory Reconstruction for Self-Localization and Map Building
- In Proc. IEEE Int. Conf. on Robotics and Automation
, 2002
"... We describe a method for the reconstruction of a driven trajectory of a mobile robot if the begin and end states of the trajectory are known, and intermediate readings from odometry are available. Our method uses a Kalman filter to combine a forward and backward dead-reckoning trajectory. We show th ..."
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Cited by 5 (1 self)
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that our method is more reliable for long trajectories than just combining the dead-reckoning trajectories independently.
Mining Long Sharable Patterns in Trajectories of Moving Objects
- IN PROC. OF STDBM
, 2006
"... The efficient analysis of spatio–temporal data, generated by moving objects, is an essential requirement for intelligent location–based services. Spatiotemporal rules can be found by constructing spatio–temporal baskets, from which traditional association rule mining methods can discover spatio–tem ..."
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Cited by 16 (4 self)
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the generation of the exponential number of sub–routes of long routes. Considering alternative modelling options for trajectories, leads to the development of two effective variants of the method. SQL–based implementations are described, and extensive experiments on both real life – and large–scale synthetic
Activity recognition using dense long-duration trajectories
- in IEEE International Conference on Multimedia and Expo
, 2010
"... Current research on visual action/activity analysis has mostly exploited appearance-based static feature descriptions, plus statistics of short-range motion fields. The deliberate igno-rance of dense, long-duration motion trajectories as features is largely due to the lack of mature mechanism for ef ..."
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Cited by 4 (0 self)
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Current research on visual action/activity analysis has mostly exploited appearance-based static feature descriptions, plus statistics of short-range motion fields. The deliberate igno-rance of dense, long-duration motion trajectories as features is largely due to the lack of mature mechanism
P.: Multi-camera people tracking with a probabilistic occupancy map
- IEEE Transactions on Pattern Analysis and Machine Intelligence
, 2007
"... Given three or four synchronized videos taken at eye level and from different angles, we show that we can effectively combine a generative model with dynamic programming to accurately follow up to six individuals across thousands of frames in spite of significant occlusions and lighting changes. In ..."
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Cited by 152 (11 self)
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subtraction algorithm and when the number of individuals is unknown a priori. Second, we show that multi-person tracking can be reliably achieved by processing individual trajectories separately over long sequences, provided that a reasonable heuristic is used to rank these individuals and avoid confusing
Ensemble-Based Convergence Analysis of Biomolecular Trajectories
- 2006. Summary and Conclusions 18
"... ABSTRACT Assessing the convergence of a biomolecular simulation is an essential part of any careful computational inves-tigation, because many fundamental aspects of molecular behavior depend on the relative populations of different conformers. Here we present a physically intuitive method to self-c ..."
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Cited by 8 (2 self)
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to be trivially applied to systems of any size. Our initial study on met-enkephalin strongly suggests that even fairly long trajectories (;50 ns) may not be converged for this small—but highly flexible—system.
Global data association for multi-object tracking using network flows
- In CVPR
, 2008
"... We propose a network flow based optimization method for data association needed for multiple object tracking. The maximum-a-posteriori (MAP) data association problem is mapped into a cost-flow network with a non-overlap constraint on trajectories. The optimal data association is found by a min-cost ..."
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Cited by 145 (1 self)
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-cost flow algorithm in the network. The network is augmented to include an Explicit Occlusion Model(EOM) to track with long-term inter-object occlusions. A solution to the EOM-based network is found by an iterative approach built upon the original algorithm. Initialization and termination of trajectories
Trajectory learning for activity understanding: Unsupervised, multilevel, and long-term adaptive approach
- IEEE Trans. on Patt. Anal. and Mach. Intell
"... Abstract—Society is rapidly accepting the use of video cameras in many new and varied locations, but effective methods to utilize and manage the massive resulting amounts of visual data are only slowly developing. This paper presents a framework for live video analysis in which the behaviors of surv ..."
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Cited by 26 (11 self)
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of surveillance subjects are described using a vocabulary learned from recurrent motion patterns, for real-time characterization and prediction of future activities, as well as the detection of abnormalities. The repetitive nature of object trajectories is utilized to automatically build activity models in a 3
Long-Term Trajectories and Service Needs for Military Families
"... All in-text references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately. ..."
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All in-text references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately.
Results 11 - 20
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2,535
