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Please use this identifier to cite or link to this item: http://173.208.131.244:9060/xmlui/handle/123456789/734
Title: Towards Recognition of Human Activities and in depth Analysis of Evaluation Datasets
Authors: GHANI KHAN, MUHAMMAD USMAN
IRSHAD, OMER
ROUBIL, SALMAN
Keywords: Human-object interaction
Human activity detection
Dataset Evaluation
Surveillance
PASTIC
Issue Date: 1-Jan-2018
Publisher: PASTIC
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 datasets are 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. Keywords:
URI: http://173.208.131.244:9060/xmlui/handle/123456789/734
ISSN: 2519-5404
Appears in Collections:Journals

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