Fast Object Motion Estimation Based on Dynamic Stixels
AbstractThe stixel world is a simplification of the world in which obstacles are represented as vertical instances, called stixels, standing on a surface assumed to be planar. In this paper, previous approaches for stixel tracking are extended using a two-level scheme. In the first level, stixels are tracked by matching them between frames using a bipartite graph in which edges represent a matching cost function. Then, stixels are clustered into sets representing objects in the environment. These objects are matched based on the number of stixels paired inside them. Furthermore, a faster, but less accurate approach is proposed in which only the second level is used. Several configurations of our method are compared to an existing state-of-the-art approach to show how our methodology outperforms it in several areas, including an improvement in the quality of the depth reconstruction. View Full-Text
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Morales, N.; Morell, A.; Toledo, J.; Acosta, L. Fast Object Motion Estimation Based on Dynamic Stixels. Sensors 2016, 16, 1182.
Morales N, Morell A, Toledo J, Acosta L. Fast Object Motion Estimation Based on Dynamic Stixels. Sensors. 2016; 16(8):1182.Chicago/Turabian Style
Morales, Néstor; Morell, Antonio; Toledo, Jonay; Acosta, Leopoldo. 2016. "Fast Object Motion Estimation Based on Dynamic Stixels." Sensors 16, no. 8: 1182.
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