Efficient mean-shift tracking via a new similarity measure

By Changjiang Yang, Ramani Duraiswami, Larry S. Davis. Computer Vision and Pattern Recognition, 2005

375 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/01f886a28fb46de77f902bc034e33c9fc6bf093c

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. Huiyu Zhou
2. Chunmei Shi
3. Yuan Yuan

Citations in the corpus

• Robust Fragments-based Tracking using the Integral Histogram (2006, neutral): “We present extensive experimental results on challenging sequences, which demonstrate the robust tracking achieved by our algorithm (even with the use of only gray-scale (noncolor) information).”
• Object tracking using SIFT features and mean shift (2009, background): “[19] proposed a simple-to-compute and more discriminative similarity measure in spatial-feature spaces.”