Best open-source pedestrian detection library for commercial use?
Hi there,
I'm looking for the best real-time image-based people detection software that is available for commercial use, and easily integrated to ROS. So preferably C++ with a simple structure and clear documentation. I know the state-of-art in people detection; it's easily available from surveys, e.g.
What I would like to have is something similar to the algorithms marked M-Q in the image. However, all seem to be shared with a non-commercial license.
Here is what I've come up so far:
- OpenCV HOG implementation as ROS package -- however, basic HOG is probably not very accuratehttps://github.com/angusleigh/hog_haa...
- SPENCER implementation -- again, just basic HOG? Plus, it's an EU project.https://github.com/spencer-project/sp...
- Munaro et al -- basic Haar & HOG?https://github.com/ros-industrial/hum...
As a bonus, a good tracker that is integrated with the detector would be nice, but not it's not required.
Can you comment on why you feel they "all seem to be shared with a non-commercial license"? Some open-source licenses explicitly allow commercial use, with just the requirement that you mention the use of the those libraries / dependencies. They don't require you to make your work open source.
They explicitly mention that the code is shared for research use only.
All of them? Are these actual open-source licenses then?