A top-down event-driven approach for concurrent activity recognition

Voulodimos, AS; Kosmopoulos, DI; Doulamis, ND; Varvarigou, TA

dc.contributor.author	Voulodimos, AS	en
dc.contributor.author	Kosmopoulos, DI	en
dc.contributor.author	Doulamis, ND	en
dc.contributor.author	Varvarigou, TA	en
dc.date.accessioned	2014-03-01T11:46:38Z
dc.date.available	2014-03-01T11:46:38Z
dc.date.issued	2012	en
dc.identifier.issn	13807501	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/37994
dc.subject	Concurrent activity recognition	en
dc.subject	Event detection	en
dc.subject	Region of interest (ROI)	en
dc.subject	Top-down	en
dc.subject	Workflow	en
dc.title	A top-down event-driven approach for concurrent activity recognition	en
heal.type	other	en
heal.identifier.primary	10.1007/s11042-012-0993-4	en
heal.identifier.secondary	http://dx.doi.org/10.1007/s11042-012-0993-4	en
heal.publicationDate	2012	en
heal.abstract	In this paper a framework for automatic online workflow recognition in industrial environments where the issue of concurrent activities rises, is presented. The framework consists of three main parts: The first part is devoted to detecting activity in specific Regions of Interest (ROIs) of the video sequence. This is effected by separating each frame into ROIs and representing the resulting subimages through feature vectors. By observing these vectors we can determine when there is action in a particular ROI. The second part of the framework lies in examining whether the detected activity corresponds to a workflow related event. This is accomplished by HMM modeling. Finally, the third part employs a string matching based technique to confirm the validity of the observed sequence of events or correct any detection or classification errors. This last step also addresses a top down approach by informing lower system levels (such as image representation or object tracking) about the errors committed. The performance of the proposed approach is thoroughly evaluated under real-life complex visual workflow understanding scenarios, in an industrial plant. The obtained results are compared and discussed. © 2012 Springer Science+Business Media, LLC.	en
heal.journalName	Multimedia Tools and Applications	en
dc.identifier.doi	10.1007/s11042-012-0993-4	en
dc.identifier.spage	1	en
dc.identifier.epage	19	en