Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  propose a method to recover 3D human body motion from a video acquired by a single static camera. In order to estimate the complex state distribution of a human body,  adopt the particle filtering framework.  present the human body using several layers of representation and compose the whole body step by step. In this way, more effective particles are generated and ineffective particles are removed as  process each layer. In order to deal with the rotational motion, the frequency of rotation is obtained using a preprocessing operation. In the preprocessing step, the variance of the motion field at each image is computed, and the frequency of rotation is estimated. The estimated frequency is used for the state update in the algorithm.  successfully track the movement of figure skaters in TV broadcast image sequence, and recover the 3D shape and motion of the skater.
['Takashi Yamamoto', 'Rama Chellappa']
I am writing a research paper on a idea Shape and motion driven particle filtering for human body tracking
[{"from": "human", "value": "I am writing a research paper on a idea Shape and motion driven particle filtering for human body tracking"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  propose a method to recover 3D human body motion from a video acquired by a single static camera. In order to estimate the complex state distribution of a human body,  adopt the particle filtering framework.  present the human body using several layers of representation and compose the whole body step by step. In this way, more effective particles are generated and ineffective particles are removed as  process each layer. In order to deal with the rotational motion, the frequency of rotation is obtained using a preprocessing operation. In the preprocessing step, the variance of the motion field at each image is computed, and the frequency of rotation is estimated. The estimated frequency is used for the state update in the algorithm.  successfully track the movement of figure skaters in TV broadcast image sequence, and recover the 3D shape and motion of the skater."}]