This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
||||||||
|
Paper Details
Paper Title
Human Action Recognition
Authors
M.Muthu Lakshmi, Dr.P. Arockia Jansi Rani
Abstract
Human Action Recognition plays significant role in various computer vision applications such as Face Recognition, Speech Recognition, Optical Character Recognition, Traffic Sign Recognition, Finger Print Recognition Etc. The Human Action Recognition problem consists of two stages like Feature Extraction and Classification. The objective of this work is to create a test dataset for various human actions and also to validate system for real time videos. System is proposed to analyze the role of ITL, CNN, and KNN for the extraction of both spatial and temporal features. The system’s response has been validated using the real time videos.
Keywords- Action Recognition, Spatial Feature, Temporal Feature, Internal Transfer Learning, Convolutional Neural Network
Publication Details
Unique Identification Number - IJEDR1802077Page Number(s) - 447-449Pubished in - Volume 6 | Issue 2 | April 2018DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
M.Muthu Lakshmi, Dr.P. Arockia Jansi Rani, "Human Action Recognition", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 2, pp.447-449, April 2018, Available at :http://www.ijedr.org/papers/IJEDR1802077.pdf
Article Preview
|
|
||||||
|
|
||||||||
