Crowd Behavior AnalysisCrowd behavior analysis is an important field of research in modern world. It has wide applications in surveillance and public safety which are one of the prime social concerns. One way to analyze crowd behavior is obtain crowd movement data and then find out outliers in the individual trajectories to infer any abnormal behavior in the crowd.
TrackVizRecorded tracks visualization plugin built on Unreal Engine. Airsim compatible.
cellrouterReconstruction of complex single-cell trajectories using CellRouter
pytrajPython interface of cpptraj
trajaPython tools for spatial trajectory and time-series data analysis
Trajectory-Analysis-and-Classification-in-Python-Pandas-and-Scikit-LearnFormed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…
yupiPython package designed for collecting and processing trajectory data.