2D Information Space Based Action Recognition
L. Aneesh Euprazia1, K.K. Thyagharajan2

1L. Aneesh Euprazia, Full Time Research Scholar, RMD Engineering College, (Tamil Nadu), India.

2K.K. Thyagharajan, Dean Academic, RMD Engineering College, (Tamil Nadu), India.

Manuscript received on 25 November 2019 | Revised Manuscript received on 06 December 2019 | Manuscript Published on 14 December 2019 | PP: 295-298 | Volume-9 Issue-1S November 2019 | Retrieval Number: A10601191S19/2019©BEIESP | DOI: 10.35940/ijitee.A1060.1191S19

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Video based human action recognition has attained more attraction from the researchers and it predominates in the field of computer vision and pattern recognition. In this paper we deliver a new approach to suppress the background data and to extract 2D data of foreground human object of the video sequence. A combination of convex hull area, convex hull perimeter, solidity and eccentricity is used to represent the feature vector. Experiments are conducted on Weizmann video dataset to assess how the system is doing. The discriminative nature of the feature vectors assures accuracy in action recognition.

Keywords: Action Recognition, Convex Hull Area, Eccentricity, Solidity.
Scope of the Article: Pattern Recognition