A Level Set Approach on Human Action Prediction

M. Sushma Sri

doi:https://doi.org/10.14445/22315381/IJETT-V47P204

Research Article | Open Access | Download PDF

Volume 47 | Number 1 | Year 2017 | Article Id. IJETT-V47P204 | DOI : https://doi.org/10.14445/22315381/IJETT-V47P204

A Level Set Approach on Human Action Prediction

M. Sushma Sri

Citation :

M. Sushma Sri, "A Level Set Approach on Human Action Prediction," International Journal of Engineering Trends and Technology (IJETT), vol. 47, no. 1, pp. 32-35, 2017. Crossref, https://doi.org/10.14445/22315381/IJETT-V47P204

Abstract

Human activity prediction is a challenging task. The aim of this paper is to track the human motion and probabilistically predict the future action of the target. This is done in three ways detect the target, estimate the direction and then predict the future action. We employ K-means algorithm which results were not very encouraged hence we shifted to level sets for better target localization. A probabilistic approach is used to estimate the direction of motion. MAP estimator is implemented to estimate the direction of the object motion. The results of estimated directions are used to predict the position of the object in future frames.

Keywords

Direction estimation, K-mean clustering, Level sets, Prediction, Target localization.

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