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Prediction of multi-target dynamics using discrete descriptors: An interactive approach

Citation Author(s):
M. Baydoun, D. Campo, D. Kanapram, L. Marcenaro, C. Regazzoni
Submitted by:
Damian Campo
Last updated:
10 May 2019 - 12:18pm
Document Type:
Poster
Event:
Presenters:
Damian Campo
Paper Code:
3429

Abstract

We propose a probabilistic method to track and interpret interactions of moving objects. The proposed method is based on the analysis of location data from different moving objects that modify their dynamics according to rules of interactions, namely attractive and repulsive forces governing moving objects in a scene. Our method uses a Bayesian structure to identify key elements of the interplay rules and facilitates the prediction of objects' dynamics as the interacting system. Such a prediction permits the detection of abnormalities by identifying unseen interaction effects in the scene.

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