DocumentCode :
1978622
Title :
SESRG-InViSS: Image and video data set for human pose, action, activity and behaviour detection
Author :
Md Saad, Mohamad Hanif ; Hussain, Amir ; Win Kong ; Yasmin, Farah ; Md Tahir, Nooritawati
Author_Institution :
Fac. of Eng. & Built Environ., UKM, Bangi, Malaysia
fYear :
2013
fDate :
19-20 Aug. 2013
Firstpage :
37
Lastpage :
42
Abstract :
This paper introduces the SESRG-InViSS image and video data set for human pose, action, activity and behaviour detection. The dataset consist of 804 images of human actor in various pose (standing front, standing right, standing left, squatting, sitting etc) and 210 videos of human actor/actors in various action (walking, associating and disassociating with an object, holding objects, dragging objects, entering and leaving the ambient), activities (taking out objects from the ambient, moving objects, swapping objects, surveying the ambient, inspecting objects) and behavior (normal and suspicious behaviour). This dataset was used extensively in the development of SESRG´s InViSS (Intelligent Video Surveillance System), an intelligent integrated system for detection, identification and management of human activities from video surveillance recording and live video surveillance feed.
Keywords :
image motion analysis; pose estimation; video signal processing; video surveillance; Intelligent Video Surveillance System; SESRG-InViSS; action detection; behaviour detection; human activities identification; human activities management; human activity detection; human pose detection; image data set; intelligent integrated system; live video surveillance feed; video data set; video surveillance recording; Artificial intelligence; Cameras; Conferences; Educational institutions; Legged locomotion; Surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Engineering and Technology (ICSET), 2013 IEEE 3rd International Conference on
Conference_Location :
Shah Alam
Print_ISBN :
978-1-4799-1028-1
Type :
conf
DOI :
10.1109/ICSEngT.2013.6650139
Filename :
6650139
Link To Document :
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