Abstract
We formulate a novel iterative, constrained least squares technique for tracking rigid bodies. With barycentric representation of objects, we compute rigid body transformations under optical flow as iterative solutions of the optical flow constraint equation with a homogeneous, linear constraint. We show the efficacy of our method on cluttered videos.
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Mukherjee, S., Ray, N., Mukherjee, D.P. (2013). Tracking Objects with Rigid Body Templates: An Iterative Constrained Linear Least Squares Approach. In: Maji, P., Ghosh, A., Murty, M.N., Ghosh, K., Pal, S.K. (eds) Pattern Recognition and Machine Intelligence. PReMI 2013. Lecture Notes in Computer Science, vol 8251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45062-4_54
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DOI: https://doi.org/10.1007/978-3-642-45062-4_54
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