Dynamic approach for real-time skin detection
Human face and hand detection, recognition and tracking are important research areas for many computer interaction applications. Face and hand are considered as human skin blobs, which fall in a compact region of colour spaces. Limitations arise from the fact that human skin has common properti...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer-Verlag
2012
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/27841/ http://irep.iium.edu.my/27841/ http://irep.iium.edu.my/27841/ http://irep.iium.edu.my/27841/2/10.1007_s11554-012-0305-2.pdf |
| Summary: | Human face and hand detection, recognition
and tracking are important research areas for many computer
interaction applications. Face and hand are considered
as human skin blobs, which fall in a compact region of
colour spaces. Limitations arise from the fact that human
skin has common properties and can be defined in various
colour spaces after applying colour normalization. The
model therefore, has to accept a wide range of colours,
making it more susceptible to noise. We have addressed
this problem and propose that the skin colour could be
defined separately for every person. This is expected to
reduce the errors. To detect human skin colour pixels and
to decrease the number of false alarms, a prior face or hand
detection model has been developed using Haar-like and
AdaBoost technique. To decrease the cost of computational
time, a fast search algorithm for skin detection is proposed.
The level of performance reached in terms of detection
accuracy and processing time allows this approach to be an
adequate choice for real-time skin blob tracking. |
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