@inProceedings{
 title = {Motion analysis using frame differences with spatial gradient measures.},
 type = {inProceedings},
 year = {2004},
 id = {f4ac04dc-aabe-31e6-b152-7c638d009895},
 created = {2019-11-19T13:01:27.277Z},
 file_attached = {false},
 profile_id = {bddcf02d-403b-3b06-9def-6d15cc293e20},
 group_id = {17585b85-df99-3a34-98c2-c73e593397d7},
 last_modified = {2019-11-19T13:46:15.460Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {mvg:509},
 source_type = {inproceedings},
 notes = {Proc. 17th International Conference on Pattern Recognition (ICPR 2004),<br/>Cambridge, UK, 4:733-736.},
 private_publication = {false},
 abstract = {The paper considers making inferences about the underlying true 2-D motion
when only evaluations of a local block-based cost function, the mean of
absolute or squared differences, for a set of motion candidates are
available. Considering bounds for these criteria, it is shown that
simple local image gradient measures provide useful information for interpreting the criterion values. Based on analysis, a thresholding scheme for the criteria is proposed. Using a Gaussian approximation for the thresholding result, estimates of local motions and related uncertainties can be obtained.},
 bibtype = {inProceedings},
 author = {Sangi P, Heikkilä J & Silvén O}
}

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