3 papers
cs.CV2026
Markovian Reeb Graphs for Simulating Spatiotemporal Patterns of Life
Anantajit Subrahmanya, Chandrakanth Gudavalli, Connor Levenson +1
Accurately modeling human mobility is critical for urban planning, epidemiology, and traffic management. In this work, we introduce Markovian Reeb Graphs, a novel framework that tr…
cs.LG2024
ReeFRAME: Reeb Graph based Trajectory Analysis Framework to Capture Top-Down and Bottom-Up Patterns of Life
Chandrakanth Gudavalli, Bowen Zhang, Connor Levenson +2
In this paper, we present ReeFRAME, a scalable Reeb graph-based framework designed to analyze vast volumes of GPS-enabled human trajectory data generated at 1Hz frequency. ReeFRAME…
cs.DS2024
ReeSPOT: Reeb Graph Models Semantic Patterns of Normalcy in Human Trajectories
Bowen Zhang, S. Shailja, Chandrakanth Gudavalli +3
This paper introduces ReeSPOT, a novel Reeb graph-based method to model patterns of life in human trajectories (akin to a fingerprint). Human behavior typically follows a pattern o…