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It introduces a new method to achieve the
passenger flow statistics in stereo vision according
to the original depth image output by the monocular
Xtion sensor, aiming at the problem of algorithm with
large amounts of data and realization of single field
with dual camera on the basis of stereo vision.
Double Xtion sensors are used to expand the range
of view angle because of the monocular Xtion
sensor’s limitations, whose view range is 45°*58°
with small transverse view range and can’t meet the
passenger flow statistics. Due to the characteristics
of constant physical space dimensions, use the
improved SIFT (Scale Invariant Features Transform)
feature algorithm to realize the auto - stereoscopic
splice of binocular original depth images. Firstly, the
feature points of the reference image (the image to
be matched) and the subsequent image (the image
to be matched with the reference image) are
obtained by SIFT algorithm, getting the location,
scale and direction of the feature points and the
feature points are described by means of the
128-dimensional vector .Secondly, complete the
match of the feature points of the two images to
calculate overlapping area, using the nearest
neighbor method. Finally, image stitching is
completed based on multi-resolution wavelet
transform, which contains three-dimensional spatial
information of the human body, thus use a method to
analysis comprehensively the depth image for field
detection and tracking based on the features such as
the head shape, the head area the spatial position
relation of the human head and shoulder and so on.
The experimental results show that this method not
only improve the detection accuracy and efficiency,
reduce the amount of operation data, so that the
system is simple in structure, but also solve many
problems of passenger flow statistics based on video
stream in the system, accuracy up to 93%, having
high and practical application value.
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