Human Tracking and Segmentation using Color Space Conversion
The HSV give more accurate and more robust tracking
results compared to grayscale and RGB images. A
simple HSV histogram-based color model is used to
develop our system. First, a background registration
technique is used to construct a reliable background
image. The moving object region is then separated from
the background region by comparing the current frame
with the constructed background image. This paper
presents a novel human motion detection algorithm that
based regions. This approach first obtains a motion
image through the acquisition and segmentation of video
sequences. In the situations where object shadows
appear in the background region, a pre-processing
median filter is applied on the input image to reduce the
shadow effect, before major blobs are identified. The
second step is generating the set of blobs from detected
varied regions in the each image sequence.
Keywords: Median filter, object tracking, background
subtraction, rgb2hsv
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