AN INTELLIGENT SURVEILLANCE SYSTEM FOR FALLING ELDERLY DETECTION BASED ON VIDEO SEQUENCES

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REZAEE KHOSRO; RASEGHGHEZELBASH MOHAMMAD; HADDADNIA JAVAD; DELBARI AHMAD

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Seminar Paper

Paper Information

Seminar: IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING
Year:2012 | Issue:19

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Title

AN INTELLIGENT SURVEILLANCE SYSTEM FOR FALLING ELDERLY DETECTION BASED ON VIDEO SEQUENCES

Author(s)

REZAEE KHOSRO | RASEGHGHEZELBASH MOHAMMAD | HADDADNIA JAVAD | DELBARI AHMAD

Keywords

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Abstract

EVERY YEAR THOUSANDS OF THE ELDERLY SUFFER SERIOUS DAMAGES SUCH AS ARTICULAR FRACTURES, BROKEN BONES AND EVEN DEATH DUE TO THEIR FALL. IN THIS PAPER, AN INTELLIGENT SYSTEM IS DESIGNED BASED ON THE ANALYSIS OF VIDEO SEQUENCES TAKEN FROM THE ELDERLY'S MOVEMENT THAT FIRSTLY SIMULATES THE MOVEMENT OF THE ELDERLY BY DETECTING THEIR ABNORMAL WALKING. BY COMBINING SEVERAL IMPORTANT FEATURES, INCLUDING AN ESTIMATE OF BODY ANGLE, REPRESENTATION OF THE MOTION HISTORY IMAGE (MHI) AND ESTIMATE OF THE MAGNITUDE AND DIRECTION OF MOVEMENT, THE SPEED OF THE FALLING IS CALCULATED. THIS SYSTEM HAS BEEN IMPLEMENTED ON A SET OF 57425 VIDEO FRAMES RECEIVED FROM THE ELDERLY RESIDING IN FARZANEGAN HEALTH CARE CENTER IN MASHHAD CITY IN IRAN AND THE VIDEO SEQUENCES CONTAINING THE ACTUAL OCCURRENCE THE OF FALLING. ALL THE SEQUENCES WERE RANDOMLY CONVERTED INTO FOUR MOVIE CATEGORIES WITH THESE DETAILS: AVI FORMAT, 120×160 PIXELS RESOLUTION AND 15 FPS. COMPARED TO SUCH TECHNIQUES AS SHIEH AND ROUGIER, 94.1% AVERAGE ACCURACY (AAC), 92% SENSITIVITY AND 94.47% SPECIFICITY INDICATE THE ABILITY OF THE SYSTEM IN IDENTIFYING THE INCIDENTS SIMILAR TO THE FALL. THE HIGH SPEED DATA PROCESSING OF THE ALGORITHM, 92.91% DETECTION RATE (DR) AND INSIGNIFICANT FALSE ALARM RATE (FAR), 5.59%, DISTINGUISHES THE PROPOSED SYSTEM FROM SIMILAR ONES, PARTICULARLY DUE TO ITS INTELLIGENT MONITORING AND ITS REAL TIME DETECTION OF THE ELDERLY'S FALL.

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APA: Copy

REZAEE, KHOSRO, RASEGHGHEZELBASH, MOHAMMAD, HADDADNIA, JAVAD, & DELBARI, AHMAD. (2012). AN INTELLIGENT SURVEILLANCE SYSTEM FOR FALLING ELDERLY DETECTION BASED ON VIDEO SEQUENCES. IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING. SID. https://sid.ir/paper/926043/en

Vancouver: Copy

REZAEE KHOSRO, RASEGHGHEZELBASH MOHAMMAD, HADDADNIA JAVAD, DELBARI AHMAD. AN INTELLIGENT SURVEILLANCE SYSTEM FOR FALLING ELDERLY DETECTION BASED ON VIDEO SEQUENCES. 2012. Available from: https://sid.ir/paper/926043/en

IEEE: Copy

KHOSRO REZAEE, MOHAMMAD RASEGHGHEZELBASH, JAVAD HADDADNIA, and AHMAD DELBARI, “AN INTELLIGENT SURVEILLANCE SYSTEM FOR FALLING ELDERLY DETECTION BASED ON VIDEO SEQUENCES,” presented at the IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING. 2012, [Online]. Available: https://sid.ir/paper/926043/en

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