A survey of skin-color modeling and detection methods

By Praveen K. Kakumanu, Sokratis Makrogiannis, Nikolaos G. Bourbakis. Pattern Recognition, 2007

1,072 citations recorded by the source corpus.

Subfields: Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/88f8b779cb4b8d9af015abccea4c421e6485ceca

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atomic and Molecular Physics, and Optics

1. Jiawei Zhang
2. Qingxiong Yang
3. Ali Borji
4. Mingliang Chen

In Computer Vision and Pattern Recognition

1. Kris M. Kitani
2. Ali Borji
3. Kristen Grauman
4. Qingxiong Yang
5. Ming-Hsuan Yang
6. Jiawei Zhang
7. Aisha Urooj Khan
8. Luc Van Gool

Citations in the corpus

• A hand pose tracking benchmark from stereo matching (2017, methodology): “We use efficient color-based skin detection method [8] for hand segmentation and find the limitation occurs under unconstrained environments (e.”
• Pixel-Level Hand Detection in Ego-centric Videos (2013, background): “Color is a strong feature for detecting skin and has been the feature of choice for a majority of previous work [9].”
• Hand Gesture Recognition Based on Computer Vision: A Review of Techniques (2020, background): “If similar, then the region can be labeled as skin [36].”
• Analysis of Hand Segmentation in the Wild (2018, background): “, those relying on skin color [11, 12, 1], (2) global appearance-based detection; e.”
• A review of hand gesture and sign language recognition techniques (2017, background): “Several challenges toward achieving a robust skin color segmentation is sensitivity to illumination, camera characteristic and skin color [136].”