International Archives of the Photogrammetry, Remote Sensing
and Spatial Information Sciences, Vol XXXV, Part B4. Istanbul 2004
(a) Low density: à = 0.1
(b) Mid density: i — 0.4
Figure 7: Overlapped results of correcte
Figure 6: Oriented flow-lines and Collision-distribution
the time resolution from 20 [frames/sec] to 5 [frames/sec]. Ob-
tained results are shown in Figure 8 and table 1, where the value
inside of the case arc is measurement ratio of both feet.
By using six sensors, the measurement ratio was achieved ap-
proximately 100% in the case of p = 0.8. In this case, 88% peo-
ple were hit to both feet. Also, success ratio of pedestrian detec-
tion was approximately 100% under the environment of # = 0.4
(c) High density: j1 = 0.8
d video images, laser points and detected trajectories
Table !: Calculated A Measurement Ratio
6 sensors
it 3 seonsors 4 sensors
0. 99% (96%) 100% (98%) 99% (98%)
0.5 94% (81%) 98% (90%) 99% (96%)
08 91% (70%) 5% (76%) 99% (88%)
[persons/m^]. However, we could not precisely determine a suc-
cess ratio under the condition of the high density because of the
complicated passenger flow. This is the future work.
5 SUMMARY
In this paper, we proposed the novel system of pedestrian detec-
tion and tracking by using multiple laser range scanners. Pro-
posed system could measure approximately 99% pedestrians in
the case of 1 = 0.8 [persons/m?]. Also, success ratio of pedestrian
detection was achieved approximately 100% under the environ-
ment of à = 0.4 [persons/m°]. Proposed system was shown that it
could measure multiple pedestrians in the case of wide range and
high-density area, comparing to methods by using video camera.
In future works, a hybrid measurement system fusing video cam-
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