Statistical skin color detection method without color transformation for real-time surveillance systems

Authors:
Yen-Hsiang Chen;Kai-Ti Hu;Shanq-Jang Ruan
Affiliations:
Department of Electronic Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan;Department of Electronic Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan;Department of Electronic Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan
Venue:
Engineering Applications of Artificial Intelligence
Year:
2012

Citing 10
Cited 2

A survey of skin-color modeling and detection methods

Pattern Recognition
Naked image detection based on adaptive and extensible skin color model

Pattern Recognition
Robust face tracking by integration of two separate trackers: Skin color and facial shape

Pattern Recognition
A skin tone detection algorithm for an adaptive approach to steganography

Signal Processing
Hand gesture recognition using a neural network shape fitting technique

Engineering Applications of Artificial Intelligence
Detecting skin in face recognition systems: A colour spaces study

Digital Signal Processing
Dynamic background modeling based on radial basis function neural networks for moving object detection

ICME '11 Proceedings of the 2011 IEEE International Conference on Multimedia and Expo
Real-time face detection and lip feature extraction using field-programmable gate arrays

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A method of dynamic skin color correction applied to display devices

IEEE Transactions on Consumer Electronics
An Advanced Motion Detection Algorithm With Video Quality Analysis for Video Surveillance Systems

IEEE Transactions on Circuits and Systems for Video Technology

Editorial: Advanced issues in artificial intelligence and pattern recognition for intelligent surveillance system in smart home environment

Engineering Applications of Artificial Intelligence
Genetic programming based blind image deconvolution for surveillancesystems

Engineering Applications of Artificial Intelligence

Quantified Score

Hi-index	0.00

Visualization

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.