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dc.contributor.authorLin, Sheng-Fuuen_US
dc.contributor.authorLin, Chi-Deen_US
dc.date.accessioned2014-12-08T15:25:08Z-
dc.date.available2014-12-08T15:25:08Z-
dc.date.issued2006en_US
dc.identifier.isbn978-89-950038-4-8en_US
dc.identifier.urihttp://hdl.handle.net/11536/17520-
dc.description.abstractThe estimation of the pedestrians on a crosswalk is a challenging job due to the occluded pedestrians and its complicated background. Here, an efficient method to estimate approximately the number of pedestrians on a crosswalk is presented. Foregrounds are extracted from an incoming image by using the constructed background, and then elaborately processing to remove unwanted pixels. With the aid of perspective transformation, the relation between the number of remaining foreground pixels and the number of pedestrians can be linearized, thus the estimation can be done. Instead of segmenting each pedestrian in the scene, our system counts foreground pixels, so it demands low computational power. Furthermore, this system doesn't need to be trained. The experimental results show that it works well in different scenes.en_US
dc.language.isoen_USen_US
dc.titleEstimation of the pedestrians on a crosswalken_US
dc.typeProceedings Paperen_US
dc.identifier.journal2006 SICE-ICASE International Joint Conference, Vols 1-13en_US
dc.citation.spage2574en_US
dc.citation.epage2579en_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.identifier.wosnumberWOS:000246237602140-
Appears in Collections:Conferences Paper