Robust hand detection

By Mathias Kölsch, Matthew A. Turk. Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings., 2004

341 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/36c22fa5789a85cf79c07f550801b3f0ccc9c9fc

How researchers see this paper

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

In Computer Vision and Pattern Recognition

1. Kristen Grauman
2. Luc Van Gool
3. Andrew Zisserman
4. Yong Jae Lee
5. Jitendra Malik
6. Kris M. Kitani
7. Dacheng Tao
8. Trevor Darrell

In Control and Systems Engineering

1. Kristen Grauman
2. Kris M. Kitani
3. Supreeth Narasimhaswamy
4. Philip H. S. Torr
5. Ali Erol
6. Mircea Nicolescu
7. Yong Jae Lee
8. Jesus Suarez

In Human-Computer Interaction

1. Kristen Grauman
2. Supreeth Narasimhaswamy
3. Minh Hoai
4. Kris M. Kitani
5. Andrew Zisserman
6. Philip H. S. Torr
7. Ali Erol
8. Mircea Nicolescu

Citations in the corpus

• Hand gesture recognition with depth images: A review (2012, methodology): “Without the use of depth information the most common methods for hand segmentation are skin-color maps [2, 3] and cascaded classifiers on Haar-like features [43, 44].”
• Predicting Important Objects for Egocentric Video Summarization (2015, methodology): “More sophisticated methods (e.g., [49]) would certainly be possible as well.”
• Contextual Attention for Hand Detection in the Wild (2019, background): “Early works mostly used skin color to detect hands [5, 34, 35], or boosted classifiers based on shape features [19, 25].”
• Vision-based hand pose estimation: A review (2007, methodology): “[96] introduced a class separability estimation method based on frequency spectrum analysis to reduce the load of training these classifiers.”
• Pixel-Level Hand Detection in Ego-centric Videos (2013, methodology): “These methods can be especially efficient when only a small number of hand configurations need to be detected [10].”
• Hand detection using multiple proposals (2011, methodology): “Methods based on detecting hands independently using skin detection [27, 28, 30] or Viola & Jones like cascade detectors built from Harr features [23, 25, 26] have had limited success and impact on unconstrained images, perhaps due to lack of sufficient training data.”
• Superpixel-Based Hand Gesture Recognition With Kinect Depth Camera (2015, methodology): “An appearance-based detection framework was also proposed in [19].”