Towards Recognition of Human Activities and in Depth Analysis of Evaluation Datasets. | [Pakistan Journal of Computer and Information Systems • 2018]

Author(s):

1. MUHAMMAD USMAN GHANI KHAN: Al-Khawarizmi Institute of Computer Sciences,Department of Computer Science and Engineering, University of Engineering and Technology,Lahore,Pakistan

2. OMER IRSHAD: Al-Khawarizmi Institute of Computer Sciences,Department of Computer Science and Engineering, University of Engineering and Technology,Lahore,Pakistan

3. SALMAN ROUBIL: Al-Khawarizmi Institute of Computer Sciences, University of Engineering and Technology,Lahore,Pakistan

Abstract:

Human activity detection is one of the key areas of interest in all surveillance applications. This work has earlier been performed manually but recent technologies have successfully converted into automated systems to carry out this task. A variety of online dataset repositories are available for training the systems and testing them later. Some dataset sare solely inclusive of single human actions, however, in some others, the interactions of humans with objects and other humans have also been accounted for. This paper focuses on single human actions alone and a survey of datasets with the dominance of single human actions.

Page(s): 1-19

DOI: DOI not available

Published: Journal: Pakistan Journal of Computer and Information Systems, Volume: 3, Issue: 1, Year: 2018

Keywords:

dataset evaluation , Surveillance , Humanobject interaction , Human activity detection

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