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Trajectory Clustering

3260 papers • 126 benchmarks • 313 datasets

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Most implemented papers

Multi-layer Trajectory Clustering: a Network Algorithm for Disease Subtyping

Sanjukta Krishnagopal•Thu May 28 2020

This work presents a novel, data-driven, network-based Trajectory Clustering (TC) algorithm for identifying Parkinson’s subtypes based on disease trajectory, which can effectively assist in targeted subtype-specific treatment in the field of personalized medicine.

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Review and Perspective for Distance Based Trajectory Clustering

Philippe C. Besse, Brendan Guillouet, Jean-Michel Loubes, François Royer•Wed Aug 19 2015

A new distance is introduced : Symmetrized Segment-Path Distance (SSPD) and is compared to the others according to their corresponding clustering results obtained using both hierarchical clustering and affinity propagation methods.

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Unsupervised Learning of Video Representations via Dense Trajectory Clustering

M. Hebert, C. Schmid, P. Tokmakov•Sat Jun 27 2020

This paper proposes to adapt two top performing objectives in this class - instance recognition and local aggregation, to the video domain, and forms clusters in the IDT space, using heuristic-based IDT descriptors as a an unsupervised prior in the iterative local aggregation algorithm.

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Trajectory Clustering Performance Evaluation: If we know the answer, it's not clustering

Mohsen Rezaie, N. Saunier•Wed Dec 01 2021

A comprehensive comparison of similarity measures, clustering algorithms and evaluation measures using trajectory data from seven intersections is performed and a method to automatically generate trajectory reference clusters based on their origin and destination points is proposed to be used for label-based evaluation measures.

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Multi-camera trajectory matching based on hierarchical clustering and constraints

Gábor Szűcs, Rego Borsodi, Dávid Papp•Wed Oct 18 2023

A Multi-Camera Multi-Target (MCMT) vehicle tracking system using a constrained hierarchical clustering solution, which improves trajectory matching, and thus provides a more robust tracking of objects transitioning between cameras.

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