Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a new algorithm to jointly track multiple objects in multi-view images. While this has been typically addressed separately in the past,  tackle the problem as a single global optimization.  formulate this assignment problem as a min-cost problem by defining a graph structure that captures both temporal correlations beten objects as ll as spatial correlations enforced by the configuration of the cameras. This leads to a complex combinatorial optimization problem that  solve using Dantzig-Wolfe decomposition and branching. Our formulation allows us to solve the problem of reconstruction and tracking in a single step by taking all available evidence into account. In several experiments on multiple people tracking and 3D human pose tracking,  show our method outperforms state-of-the-art approaches.
['Laura Leal-Taixé', 'Gerard Pons-Moll', 'Bodo Rosenhahn']
I am writing a research paper on a idea Branch-and-price global optimization for multi-view multi-target tracking
[{"from": "human", "value": "I am writing a research paper on a idea Branch-and-price global optimization for multi-view multi-target tracking"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a new algorithm to jointly track multiple objects in multi-view images. While this has been typically addressed separately in the past,  tackle the problem as a single global optimization.  formulate this assignment problem as a min-cost problem by defining a graph structure that captures both temporal correlations beten objects as ll as spatial correlations enforced by the configuration of the cameras. This leads to a complex combinatorial optimization problem that  solve using Dantzig-Wolfe decomposition and branching. Our formulation allows us to solve the problem of reconstruction and tracking in a single step by taking all available evidence into account. In several experiments on multiple people tracking and 3D human pose tracking,  show our method outperforms state-of-the-art approaches."}]