Paper Info
Title
Statistical skin color detection method without color transformation for real-time surveillance systems
Abstract
Skin color is the significant information for many emerging applications in surveillance systems. However, the common skin color models usually need to perform color space transformation. This is not suitable for direct hardware implementation. This paper develops a statistical skin color model using the default RGB color space, which is especially suitable to implement on hardware for image processing applications. Moreover, an efficient face detection system is also proposed with our skin color model for hardware implementation. Compared with other skin color models, the proposed model produces the highest detection rate. Furthermore, the extended face detection system also significantly decreases the computational cost of the hardware implementation based on our skin color model. Experimental results demonstrate that our proposed detection system can be easily implemented on a field-programmable gate array (FPGA), where only 3202 logic cells is occupied with the high detection rate.
Year
DOI
Venue
2012
10.1016/j.engappai.2012.02.019
Eng. Appl. of AI
Keywords
Field
DocType
efficient face detection system,default rgb color space,skin color model,color transformation,statistical skin color detection,extended face detection system,hardware implementation,color space transformation,real-time surveillance system,high detection rate,statistical skin color model,skin color,common skin color model,color space,face detection
Computer vision,Color space,Computer science,RGB color space,Field-programmable gate array,Image processing,Gate array,Color model,Artificial intelligence,Face detection,Color normalization
Journal
Volume
Issue
ISSN
25
7
0952-1976
Citations 
PageRank 
References 
10
0.50
21
Authors
3
Name
Order
Citations
PageRank
Yen-Hsiang Chen1254.38
Kai-Ti Hu2120.89
Shanq-Jang Ruan337555.44