Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Given an input video sequence of one person conducting a sequence of continuous actions,  consider the problem of jointly segmenting and recognizing actions.  propose a discriminative approach to this problem under a semi-Markov model framework, where  are able to define a set of features over input-output space that captures the characteristics on boundary frames, action segments and neighboring action segments, respectively. In addition,  show that this method can also be used to recognize the person who performs in this video sequence. A Viterbi-like algorithm is devised to help efficiently solve the induced optimization problem. Experiments on a variety of datasets demonstrate the effectiveness of the proposed method.
['Qinfeng Shi', 'Li Wang', 'Li Cheng', 'Alexander J. Smola']
I am writing a research paper on a idea Discriminative human action segmentation and recognition using semi-Markov model
[{"from": "human", "value": "I am writing a research paper on a idea Discriminative human action segmentation and recognition using semi-Markov model"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Given an input video sequence of one person conducting a sequence of continuous actions,  consider the problem of jointly segmenting and recognizing actions.  propose a discriminative approach to this problem under a semi-Markov model framework, where  are able to define a set of features over input-output space that captures the characteristics on boundary frames, action segments and neighboring action segments, respectively. In addition,  show that this method can also be used to recognize the person who performs in this video sequence. A Viterbi-like algorithm is devised to help efficiently solve the induced optimization problem. Experiments on a variety of datasets demonstrate the effectiveness of the proposed method."}]