Survey On Human Motion Recognition

Bhavana R Maale; Roopa Guttedar

doi:https://doi.org/10.14445/22315381/IJETT-V67I10P204

Research Article | Open Access | Download PDF

Volume 67 | Issue 10 | Year 2019 | Article Id. IJETT-V67I10P204 | DOI : https://doi.org/10.14445/22315381/IJETT-V67I10P204

Survey On Human Motion Recognition

Bhavana R Maale, Roopa Guttedar

Citation :

Bhavana R Maale, Roopa Guttedar, "Survey On Human Motion Recognition," International Journal of Engineering Trends and Technology (IJETT), vol. 67, no. 10, pp. 17-19, 2019. Crossref, https://doi.org/10.14445/22315381/IJETT-V67I10P204

Abstract

The human pose estimation can be improved over images based on estimation methods. It presents a method to estimate a sequence of human poses in unconstrained videos. The aims to do demonstrate by using temporal information. It is based on two main ideas: ’Abstraction’ and ‘Association’ to impose the intra-and inter-frame body part constraints. The concept of abstraction body part is introduced to metaphysical combine the symmetric body parts and model them in tree based body part structure. the second method ‘Association’ the optimal tracklets are generated for each abstract body part ,in order to enforce the spatiotemporal constraints between body parts in adjacent frames.

Keywords

Human pose estimation ,motion detection, object detection

References

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