-
8/14/2019 How to Detect Human Fall in Video
1/21
www.company.com
www.fallcam.be
Howtodetecthu
manfallin
video?Anoverview
Jonas Van den BerghToon Goedem
Jared Willems
Mieke DeschodtKoen Milisen
Eddy Dejaeger
Glen DebardBert BonroyBart Vanrumste
-
8/14/2019 How to Detect Human Fall in Video
2/21
www.fallcam.be2
Summary
Master project
System overview
Background subtraction
Fall detection
Results
Conclusion & Demo
-
8/14/2019 How to Detect Human Fall in Video
3/21
www.fallcam.be3
Project
Master project
Camera system for elderly fall detection
Part of the TETRA-project: Fallcam www.fallcam.be
Goal Developing a video-based algorithm for fall
detection, using grayscale video sequences
http://www.fallcam.be/http://www.fallcam.be/
-
8/14/2019 How to Detect Human Fall in Video
4/21
www.fallcam.be4
Basic fall detection system
-
8/14/2019 How to Detect Human Fall in Video
5/21
www.fallcam.be5
1. Background subtraction
-
8/14/2019 How to Detect Human Fall in Video
6/21
www.fallcam.be6
Background subtraction
-
8/14/2019 How to Detect Human Fall in Video
7/21www.fallcam.be7
Background subtraction
Non-recursive techniquesFrame differencing
Median filtering
Recursive techniquesRunning average
Approximated median filtering
Mixture of gaussians
-
8/14/2019 How to Detect Human Fall in Video
8/21www.fallcam.be8
AMF & MF
Approximated median filtering:
Median filtering:
B x , y=B x , y1 if Ix , y B x , y B x , y=B x , y1 if Ix , y B
x , y
Calculated
BackgroundMedian
-
8/14/2019 How to Detect Human Fall in Video
9/21www.fallcam.be9
Background subtraction
-
8/14/2019 How to Detect Human Fall in Video
10/21www.fallcam.be10
Background subtraction
In our project median filtering and approximatedmedian filtering
comparative study
Median filtering gives better results but is slower
thanapproximated median filtering(0.097 vs 0.20 seconds per frame
[intel core 2 duo, T9400])
(MF: 0.35, AMF: 2.44 avg pixel difference)
Buffer of 40 frames, one frame added each 5 frames
-
8/14/2019 How to Detect Human Fall in Video
11/21www.fallcam.be11
-
8/14/2019 How to Detect Human Fall in Video
12/21www.fallcam.be12
2. Fall detection
Three major subdivisions:Extracting parameters from video
data
Self learning algorithms (Hidden Markov Models)
Detection of abnormal behavior
We will focus on parameter-based methods
-
8/14/2019 How to Detect Human Fall in Video
13/21www.fallcam.be13
Fall detection
Aspect ratio
Fall angle
Vertical projection histograms
Centroid of the falling person
Horizontal and vertical gradient
-
8/14/2019 How to Detect Human Fall in Video
14/21www.fallcam.be14
Fall detection
Aspect ratio
-
8/14/2019 How to Detect Human Fall in Video
15/21www.fallcam.be15
Fall detection
Fall angle
-
8/14/2019 How to Detect Human Fall in Video
16/21www.fallcam.be16
Fall detection
Vertical projection histograms
-
8/14/2019 How to Detect Human Fall in Video
17/21www.fallcam.be17
Further processing
Further processing is needed to become a goodworking fall
detection system, possibilities are:
Noise suppression (filtering)
Morphological operations (erosion / dilation)
Shadow detection
Ghost detection
Occlusion handling
Ellipse fitting
-
8/14/2019 How to Detect Human Fall in Video
18/21www.fallcam.be18
Results
Accuracy:
Tested with 23 sequences
processing speed [s/frame]:
Intel Core 2 Duo, T9400, 2,53 Ghz dual core processor
Correct FP FN
Sideview 85% 0% 15%Frontview 78% 11% 11%
AMF MF
0,36 0,43
-
8/14/2019 How to Detect Human Fall in Video
19/21www.fallcam.be19
Conclusion
During this master project, we have developed aworking fall
detection algorithm
Note that all processing was done using grayscale
video sequences
Better results with additional processing steps
Other programming language and more efficient codeto speed-up
the algorithm
-
8/14/2019 How to Detect Human Fall in Video
20/21www.fallcam.be20
Demo
-
8/14/2019 How to Detect Human Fall in Video
21/2121
Questions?
