HMM based action recognition using oriented histograms of optical flow field

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HMM based action recognition using oriented histograms of optical flow field

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© The Institution of Engineering and Technology
Published

A simple and effective motion descriptor based on oriented histograms of optical flow field sequence is proposed. After dimensional reduction by principal component analysis, it is applicable to human action recognition using the hidden Markov model (HMM). Experiments with convincing recognition rate demonstrate the discriminative power of the proposed descriptor.

Inspec keywords: principal component analysis; motion estimation; hidden Markov models; image sequences

Other keywords: principal component analysis; optical flow field; human action recognition; oriented histograms; motion descriptor; hidden Markov model; dimensional reduction; HMM

Subjects: Markov processes; Markov processes; Optical, image and video signal processing; Computer vision and image processing techniques

References

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