Efficient detection of motion patterns in spatio-temporal data sets
By Joachim Gudmundsson, Marc van Kreveld, Bettina Speckmann. ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems, 2004
317 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Signal Processing
View Paper: https://www.semanticscholar.org/paper/f7205609aee062c097fb55eba601ca84598530e0
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In Computer Vision and Pattern Recognition
In Signal Processing
Citations in the corpus
- Towards a taxonomy of movement patterns (2008, background): “Flock: The flock pattern describes a group of animals (representing the generic pattern of a moving cluster) moving in the same direction while staying close together [10], for instance, a flock of sheep.”
- A model for enriching trajectories with semantic geographical information (2007, background): “2 The Problem of Trajectory Data Analysis The a priori integration of trajectory data with the background geographic information may lead to the discovery of semantic trajectory patterns that many data mining techniques [4, 9, 11, 14, 16] that consider trajectories as sample points (tid, x, y, t) ma”
- Trajectory Data Mining (2015, background): “…This branch of research is to discover a group of objects that move together for a certain time period, such as flock [Gudmundsson and Kreveld 2006; Gudmundsson et al. 2004], convoy [Jeung et al. 2008a, 2008b], swarm [Li et al. 2010a], traveling companion [Tang et al. 2012a, 2012b], and gathering…”
- A Survey on Trajectory Data Management, Analytics, and Learning (2020, background): “Gudmundsson and Van Kreveld [69] defined the concept of a flock, which is a common sub-trajectory covered by a set of trajectories with at least k circles with the same-radius.”
- Urban Computing: Concepts, Methodologies, and Applications (2014, background): “Another branch of research is to discover a group of objects that move together for a certain time period, such as .ock [Gudmundsson et al. 2004, 2006], convoy [Jeung et al. 2008a, 2008b], swarm [Li et al. 2010], traveling companion [Tang et al. 2012, 2013], and gathering [Zheng et al. 2013b,…”
- A review of moving object trajectory clustering algorithms (2016, unknown): “Spatial based clustering is mainly used in spatial related analysis, such as spatial clustering , dense area finding, hot regions discovery as well as some meaningful spatial related movement patterns discovery in Gudmundsson et al. (2004) .”
- Discovery of convoys in trajectory databases (2008, methodology): “As mentioned earlier, several slightly different notions of a flock [13, 14] relate to that of a convoy.”
- Swarm (2010, background): “One line of study is to find moving object clusters including moving clusters [14], flocks [10, 9, 4], and convoys [13, 12].”
- Time-focused clustering of trajectories of moving objects (2006, unknown): “In ( Gudmundsson, van Kreveld & Speckmann 2004 ) the computational complexity and approximation strategies for a few motion patterns are studied.”