Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The iterative procedure called 'mean-shift' is a simple robust method for finding the position of a local mode (local maximum) of a kernel-based estimate of a density function. A new robust algorithm is given here that presents a natural extension of the 'mean-shift' procedure. The new algorithm simultaneously estimates the position of the local mode and the covariance matrix that describes the approximate shape of the local mode.  apply the new method to develop a new 5-degrees of freedom (DOF) color histogram based non-rigid object tracking algorithm.
['Zoran Zivkovic', 'Ben J. A. Kröse']
I am writing a research paper on a idea An EM-like algorithm for color-histogram-based object tracking
[{"from": "human", "value": "I am writing a research paper on a idea An EM-like algorithm for color-histogram-based object tracking"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The iterative procedure called 'mean-shift' is a simple robust method for finding the position of a local mode (local maximum) of a kernel-based estimate of a density function. A new robust algorithm is given here that presents a natural extension of the 'mean-shift' procedure. The new algorithm simultaneously estimates the position of the local mode and the covariance matrix that describes the approximate shape of the local mode.  apply the new method to develop a new 5-degrees of freedom (DOF) color histogram based non-rigid object tracking algorithm."}]