I've been looking into implementations of Hidden Markov Models in C++ lately. I was wondering If I could use any of the existing HMM libraries written in C++ out there to use with Action Recognition (with OpenCV)?

I'm tying to AVOID "re-inventing the wheel"!

Is it possible to use Torch3Vision even though(looks like) it was designed to work for speech recognition?

My idea is that, if we can convert the feature vectors into Symbols/Observations (using Vector Quantization - Kmeans clustering), we can use those symbols for decoding, inference, parameter learning (Baumâ€“Welch algorithm). This way it would work with Torch3Vision in OpenCV.

Any help on this will be truly appreciated.

I'm tying to AVOID "re-inventing the wheel"!

Is it possible to use Torch3Vision even though(looks like) it was designed to work for speech recognition?

My idea is that, if we can convert the feature vectors into Symbols/Observations (using Vector Quantization - Kmeans clustering), we can use those symbols for decoding, inference, parameter learning (Baumâ€“Welch algorithm). This way it would work with Torch3Vision in OpenCV.

Any help on this will be truly appreciated.