Motion segmentation and pose recognition with motion history gradients

By Gary R. Bradski, James W. Davis. Proceedings Fifth IEEE Workshop on Applications of Computer Vision, 2000

402 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/a09f87724bc2bf5eddbee14ecdf81a12045411cb

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. Hyoungseop Kim
2. Gualtiero Volpe
3. Joo Kooi Tan
4. Ingrid Lagerlöf
5. Seiji Ishikawa
6. Md Atiqur Rahman Ahad
7. Antonio Camurri
8. Ginevra Castellano

Citations in the corpus

• Motion history image: its variants and applications (2012, methodology): “In one of Davis’s recent works [46], a rapid-and-reliable action (run, walk and stand) recognition approach is proposed using the MHI method.”
• Recognizing emotion from dance movement: comparison of spectator recognition and automated techniques (2003, background): “SMIs are inspired to motion-energy images (MEI) and motion-history images (MHI) (Bradsky and Davis, 2002, Bobick and Davis, 2001).”