ACTION RECOGNITION IN VIDEO SEQUENCE
Abstract
In this study, human activity recognition systems based on Artificial Neural Networks (ANN) and Hidden Markov Model (HMM) are modeled for recognition of the human activities from video sequences. The action recognition system models consist of three stages. At the first stage, human pose is detected in video frames. At the second stage, the pose sequences are obtained. At the third stage, ANN, and HMM based recognition models are used for action recognition. Sugested ANN model has higher recognition rate. However, for the HMM models new actions can be easily added without making any changes in the previous trained HMM.
Keywords
Kaynakça
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