Paper Info
Title
Dual-Bound-Constraints In Morphological Model Refinement For Multiple Skin Color Tones Detection
Abstract
This paper aims to propose a solution to skin color detection problem when existing multiple skin-color target persons in the image. The AdaBoost algorithm is used to detect the position of the face, and the dominant color of every face regions is used as the initial skin color sample. A new type of sample update mechanism is used to increase the skin color detection accuracy rate, with a constraint mechanism controlling the number of iterations, allowing the proposed system to find out a more complete and smooth skin color regions. In comparison to other methods with fixed samples, the skin color samples in this study varies with each execution, and the resistance to the skin color shift caused by light and shade is improved.
Year
Venue
Keywords
2015
2015 IEEE 4TH GLOBAL CONFERENCE ON CONSUMER ELECTRONICS (GCCE)
face detection, skin color detection, smart home, morphological processing, multiple skin color tones detection
Field
DocType
Citations 
Adaboost algorithm,Computer vision,Color detection,Computer science,Morphological processing,Model refinement,Artificial intelligence,Face detection,Color normalization
Conference
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Jung-Yu Chen100.34
Huang-Chia Shih218721.98