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Communication Dans Un Congrès Année : 2020

Contour Detection of Multiple Moving Objects inUnconstrained Scenes using Optical Strain

Résumé

Moving Object Detection (MOD) is still an activearea of research due to the amount of scenarios it can tackleand the different characteristics that may appear in them.Therefore, getting a unique method that performs well in allthe situations becomes a challenging task. In this paper weaddress theMODproblem from a physical point of view: giventhe optical flow between two images, we propose to find itsmotion-boundaries by means of the optical strain, which givesinformation about the deformation of any vector field. As opticalstrain detects all the motions from a sequence, we propose towork on temporal windows and apply thresholding on them inorder to separate noise from real motion. The proposed approachshows competitive results when compared to other methods onknown datasets.
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Dates et versions

hal-03106835 , version 1 (12-01-2021)

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Citer

Maria Oliver-Parera, Julien Muzeau, Patricia Ladret, Pascal Bertolino. Contour Detection of Multiple Moving Objects inUnconstrained Scenes using Optical Strain. DICTA 2020 - International Conference on Digital Image Computing: Techniques and Applications, Nov 2020, Melbourne (online), Australia. ⟨10.1109/DICTA51227.2020.9363368⟩. ⟨hal-03106835⟩
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