Results 11 to 20 of about 1,061,883 (288)
Distribution-Based Trajectory Clustering [PDF]
2023 IEEE International Conference on Data Mining (ICDM), 2023 Trajectory clustering enables the discovery of common patterns in trajectory data. Current methods of trajectory clustering rely on a distance measure between two points in order to measure the dissimilarity between two trajectories. The distance measures employed have two challenges: high computational cost and low fidelity.
Zijing Wang, Ye Zhu 0002, Kai Ming Ting
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PARALLEL SPATIOTEMPORAL SPECTRAL CLUSTERING WITH MASSIVE TRAJECTORY DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Massive trajectory data contains wealth useful information and knowledge. Spectral clustering, which has been shown to be effective in finding clusters, becomes an important clustering approaches in the trajectory data mining.
Y. Z. Gu +5 more
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ISPRS International Journal of Geo-Information, 2018 Rapidly growing GPS (Global Positioning System) trajectories hide much valuable information, such as city road planning, urban travel demand, and population migration.
Xiangbing Zhou +4 more
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Trajectory Clustering for Air Traffic Categorisation [PDF]
Aerospace, 2022 Availability of different types of data and advances in data-driven techniques open the path to more detailed analyses of various phenomena. Here, we examine the insights that can be gained through the analysis of historical flight trajectories, using ...
Tatjana Bolić +3 more
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Ship Trajectory Clustering Based on Trajectory Resampling and Enhanced BIRCH Algorithm
Journal of Marine Science and Engineering, 2023 Automatic identification systems (AIS) provides massive ship trajectory data for maritime traffic management, route planning, and other research. In order to explore the valuable ship traffic characteristics contained implicitly in massive AIS data, a ...
Zhaojin Yan +5 more
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Air Traffic Trajectory Operation Mode Mining Based on Clustering
Applied Sciences, 2022 When processing track sequences, it is time-consuming and difficult to separate clusters with substantial density variations to deal with the problem of classic clustering methods mining common flight patterns in airspace.
Xinmin Tang, Yusheng Liu, Kefan Chen
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Trajectory clustering for coastal surveillance
2007 10th International Conference on Information Fusion, 2007 Achieving superior situation awareness is a key task for military, as well as civilian, decision makers. Today, automatic systems provide us with an excellent opportunity for assisting the human decision maker in achieving this awareness. Due to the potential of information overload one important aspect is to understand where to focus attention ...
Anders Dahlbom, Lars Niklasson
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Trajectory Clustering For Automatic Speech Recognition [PDF]
, 2005 4 p.
Han, Y., Veth, J.M. de, Boves, L.W.J.
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Learned Trajectory Embedding for Subspace Clustering
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Clustering multiple motions from observed point trajectories is a fundamental task in understanding dynamic scenes. Most motion models require multiple tracks to estimate their parameters, hence identifying clusters when multiple motions are observed is ...
Yaroslava Lochman +2 more
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Trajectory based video analysis in multi-camera setups [PDF]
, 2010 PhDThis thesis presents an automated framework for activity analysis in multi-camera setups. We start with the calibration of cameras particularly without overlapping views.
Anjum, Nadeem
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