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Optical flow for large motion using gradient technique
Author(s) -
Hossain Sarker,
Kamal Bechkoum,
Kamrul Islam
Publication year - 2006
Publication title -
serbian journal of electrical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.133
H-Index - 5
eISSN - 2217-7183
pISSN - 1451-4869
DOI - 10.2298/sjee0601103s
Subject(s) - optical flow , smoothing , motion (physics) , computer vision , artificial intelligence , sequence (biology) , computer science , motion estimation , image (mathematics) , flow (mathematics) , object (grammar) , algorithm , mathematics , geometry , genetics , biology
In this paper, we present the gradient-based optical flow method that estimates the two-dimensional velocity of object motion. a multi-resolution smoothing operation proposes in this paper as a pre-processing step for overcoming the difficulty of large motion estimation by gradient-based optical flow techniques. the effectiveness of the proposed method has confirmed by applying image sequence of large motion experimental results with an image sequence show a qualitative improvement

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