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3.2 Target Tracking
We take a man as the moving target in this article, because man is non-rigid object, the
body of the man will deform when the man is walking, it is difficult to track .But the
gesture of a man will repeat, so we select several gestures of the man to be the templates
then we match all the templates with every frame of the video, the program will select the
template that has the most matching points to be the best template of the frame, by doing
this, we can tracking the target efficiently.
4 The Experiment and Result
First we select seven gesture of the man from 30 frames of the video to be the templates,
as shows in figure 6.
Fig. 6.
Seven templates
60
unbidirectional match
bidirectional match
50
40
30
20
10
0
0
10
20
30
40
50
60
70
80
the frame of the video
Fig. 7.
The comparison of the quantity of matching
1
0.9
0.8
0.7
0.6
0.5
0.4
0.3
bidirectional match
unbidirectional match
0.2
0
10
20
30
40
50
60
70
80
the frame of the video
Fig. 8.
The comparison of the ratio of right matching
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