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Estimation of Correspondent Trajectories in Multiple Overlapping Synchronized Videos Using Correlation of Activity Functions
2019
2019 IEEE International Conference on Image Processing (ICIP)
We present an approach for ranking a collection of videos with overlapping fields of view. The ranking depends on how they allow to visualize as best as possible, i.e. with significant details, a trajectory query drawn in one of the videos. The proposed approach decomposes each video into cells and aims at estimating a correspondence map between cells from different videos using the linear correlation between their functions of activity. These latter are obtained during a training session by
doi:10.1109/icip.2019.8803032
dblp:conf/icip/MalonCCC19
fatcat:vui3f6katraethbdjrhq4krlde