Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICME.2010.5582608
Title: Underwater swimmer segmentation
Authors: Karlekar, J. 
Fang, A. 
Keywords: Distance transform
Graph cut
Underwater segmentation
Issue Date: 2010
Source: Karlekar, J., Fang, A. (2010). Underwater swimmer segmentation. 2010 IEEE International Conference on Multimedia and Expo, ICME 2010 : 619-624. ScholarBank@NUS Repository. https://doi.org/10.1109/ICME.2010.5582608
Abstract: An unsupervised approach to segment the swimmer in hydrodynamic video sequences is presented in this paper. Detecting and segmenting objects in hydrodynamic scenes is challenging as both the desired foreground and unwanted background are driven by complex nonlinear dynamics. These dynamics typically comprise a chaotic mix of vortices, flows and turbulence. Mediumintroudced reflection and light diffraction creates the camouflage, rendering the swimmer detection even more difficult. On the other hand, spatial regularities and temporal distortions within these sequences often exhibit signature-like patterns. The novelty of our approach is to combine texture modeling and photometric features in order to identify the foreground subject, which lacks the visual characteristics of hydrodynamic content. Segmentation results are then temporally propagated from one frame to another to reduce the effects of camouflage and confine the segmentation to desired region. Simulation results demonstrate ability of the algorithm to separate human body in hydrodynamic sequences for silhouette based underwater motion capture and analysis. © 2010 IEEE.
Source Title: 2010 IEEE International Conference on Multimedia and Expo, ICME 2010
URI: http://scholarbank.nus.edu.sg/handle/10635/43190
ISBN: 9781424474912
DOI: 10.1109/ICME.2010.5582608
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