Embeded camera R&D for Real-Time fire detection surveillance in tunnel environment
- 2008.07.01~2009.06.30- High Computing Power Embeded Camera R&D, Fire & Smoke Detection(My Job)
The goal of the project is to develop embeded camera for detect fire and smoke.
My job was an algorithm R&D for detection fire & smoke and the s/w programing.
The fire detection algorithm uses the HMM algorithm.
The features of the fire's sequence is learned in the off-line. And then the learned Markov model is used in the oline using viterbi algorithm.
Below Movies are the result of the project.
*** Demo 1, Fire detection Simple situation :
***Demo 4, Embeded Camera Test. The camera detects the fire and then zoom in the region of the fire.
very excellent!
ReplyDeletecould you share me source code?
i need for my project ^^
thank you very much :)
Sorry, I can' t share the source code. Because the source code is the result of project funded from government. Thank you for visiting my blog.
ReplyDeleteoh. no problem. thank you ^^ :)
ReplyDeleteCan you share me detail document to understand your algorithm? I would like to understand your algorithm. Ko-mab-sum-ni-da :)
ReplyDeleteplease refer to this paper
Deletehttps://docs.google.com/file/d/0B7Z5A9fd6h29d0h4RkdJVGFRbC1wbjQtUkI5bE84UQ/edit?pli=1
thank you
Thank you so much. Now, I am also PhD students in Pusan, if possible, we can meet. Thanks :)
DeleteThank you for visiting my blog.
Delete^^
Hi, JH Kim nim.
ReplyDeleteNow, I am implementing your algorithm. But I don't know how to do step "Pixel clustering". Because, opencv don't have that function, and I don't also understand that step. How to cluster them? Does it mean you add 40 frames?
Thank
I definitely enjoying every little bit of it and I have you bookmarked to check out new stuff you post. התקנת ספרינקלרים
ReplyDelete