Looking at the original paper (http://www.ai.mit.edu/projects/vsam/P...), and at this page http://docs.opencv.org/trunk/db/d5c/t..., the question is:
There is already an implementation of the Stauffer & Grimson algorithm in opencv ?
No that exact algorithm, I don't think. Very similar though.
The algorithms in OpenCV are much more modern, and likely more accurate and faster. They should function just fine for whatever you were using the Stauffer & Grimson algorithm for.
I might be completely wrong here, but as far as I scrolled through the mentioned paper, I do not see it do anything else than building an adaptive gaussian mixture model and updating it accordingly. This is exactly what the BackgroundSubtractorGMG does...
The papers for the algorithms used in OpenCV are
GMG: Andrew B Godbehere, Akihiro Matsukawa, and Ken Goldberg. Visual tracking of human visitors under variable-lighting conditions for a responsive audio art installation. In American Control Conference (ACC), 2012, pages 4305–4312. IEEE, 2012.
MOG: Pakorn KaewTraKulPong and Richard Bowden. An improved adaptive background mixture model for real-time tracking with shadow detection. In Video-Based Surveillance Systems, pages 135–144. Springer, 2002.
MOG2: Pakorn KaewTraKulPong and Richard Bowden. An improved adaptive background mixture model for real-time tracking with shadow detection. In Video-Based Surveillance Systems, pages 135–144. Springer, 2002.
Asked: 2016-12-30 15:40:55 -0600
Seen: 683 times
Last updated: Dec 30 '16
I don't understand your link to python do. Was it this link?