Hand gesture recognition using multi-scale colour features, hierarchical models and particle filtering

By Lars Bretzner, Ivan Laptev, Tony Lindeberg. Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition, 2002

379 citations recorded by the source corpus.

Subfields: Developmental and Educational Psychology, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/8dc6e91c79cf79375749a283a5166a6d878a550f

How researchers see this paper

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

In Developmental and Educational Psychology

1. Zaid Bin Omar
2. Mohamed Hisham Jaward
3. M. Cheok
4. Liang Wang
5. Hongsong Wang
6. Ling Shao
7. Di Wu

In Human-Computer Interaction

1. Jian Cheng
2. Hanqing Lu
3. Zaid Bin Omar
4. Mohamed Hisham Jaward
5. M. Cheok
6. Liang Wang
7. Hongsong Wang
8. Ling Shao

Citations in the corpus

• Fusing multi-modal features for gesture recognition (2013, background): “[3] described their multi-scale color feature and its application in a prototype system for hand tracking and posture recognition.”
• A review of hand gesture and sign language recognition techniques (2017, methodology): “In research [133, 135, 138], tracking is performed using color features, and particle filtering has shown to be able to accurately track the movement of the gesture.”
• Real-Time Hand Gesture Detection and Recognition Using Bag-of-Features and Support Vector Machine Techniques (2011, neutral): “Skin color [39]–[41] is a significant image feature to detect and track human hands.”