Thermal imaging based elderly fall detection

Somasundaram Vadivelu, Sudakshin Ganesan, O. V.Ramana Murthy, Abhinav Dhall

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

15 Citations (Scopus)


Elderly fall detection is very special case of human action recognition from videos and has very practical application in old age home and nursing centers. Fall detection in its simplest form is a binary classification of fall event or other daily routine activities. Hence, the current trend of sophisticated techniques being developed for human action recognition, particularly with scenarios of large number of classes may not be required in elderly fall detection. However, other design considerations such as simplicity (ready to be deployed), privacy issues (not revealing the identity) are to focused and are the major contributions of this paper. The Spatio-Temporal Interest Points (STIP) and Fisher vector framework for human action recognition is established as baseline in this work. A novel optical flow based technique is proposed that yields better performance than the baseline. Further, a very economical thermal imaging based input modality is proposed. Along with the thermal images not revealing the identity of the persons, thermal images also aid human detection from backgrounds – a useful solution in computing the optical flow of human movements. The proposed solution is also validated on the KUL Simulated Fall dataset showing its generalization capability.

Original languageEnglish
Title of host publicationComputer Vision – ACCV 2016 Workshops
Subtitle of host publicationACCV 2016 International Workshops Taipei, Taiwan, November 20–24, 2016 Revised Selected Papers, Part III
EditorsChu-Song Chen, Jiwen Lu, Kai-Kuang Ma
Place of PublicationCham Switzerland
Number of pages13
ISBN (Electronic)9783319545264
ISBN (Print)9783319545257
Publication statusPublished - 2017
Externally publishedYes
EventWorkshop on Computer Vision for Affective Computing 2016 - Taipei, Taiwan
Duration: 24 Nov 201624 Nov 2016
Conference number: 3rd

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceWorkshop on Computer Vision for Affective Computing 2016
Abbreviated titleCV4AC
City Taipei
Internet address

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