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000141843 005__ 20190316234630.0
000141843 0247_ $$2doi$$a10.1109/PETS-WINTER.2009.5399487
000141843 037__ $$aCONF
000141843 245__ $$aSparsity-driven People Localization Algorithm: Evaluation in Crowded Scenes Environments
000141843 269__ $$a2009
000141843 260__ $$aSnowbird, Utah$$c2009
000141843 336__ $$aConference Papers
000141843 520__ $$aWe propose to evaluate our sparsity driven people localization framework on crowded complex scenes. The problem is recast as a linear inverse problem. It relies on deducing an occupancy vector, i.e. the discretized occupancy of people on the ground, from the noisy binary silhouettes observed as foreground pixels in each camera. This inverse problem is regularized by imposing a sparse occupancy vector, i.e. made of few non-zero elements, while a particular dictionary of silhouettes linearly maps these non-empty grid locations to the multiple silhouettes viewed by the cameras network. The proposed approach is (i) generic to any scene of people, i.e. people are located in low and high density crowds, (ii) scalable to any number of cameras and already working with a single camera, (iii) unconstraint on the scene surface to be monitored. Qualitative and quantitative results are presented given the PETS 2009 dataset. The proposed algorithm detects people in high density crowd, count and track them given severely degraded foreground silhouettes.
000141843 6531_ $$aSparsity
000141843 6531_ $$aPeople detection
000141843 6531_ $$acrowd
000141843 6531_ $$amulti-view
000141843 6531_ $$alts2
000141843 6531_ $$alts4
000141843 700__ $$0242925$$aAlahi, Alexandre$$g129343
000141843 700__ $$0243987$$aJacques, Laurent$$g182131
000141843 700__ $$aBoursier, Yannick
000141843 700__ $$0240428$$aVandergheynst, Pierre$$g120906
000141843 7112_ $$aIEEE International Workshop on Performance Evaluation of Tracking and Surveillance$$cSnowbird, Utah$$dDecember 7-10, 2009
000141843 773__ $$tIEEE International Workshop on Performance Evaluation of Tracking and Surveillance
000141843 8564_ $$s9068$$uhttps://infoscience.epfl.ch/record/141843/files/pets.jpg$$yn/a$$zn/a
000141843 909C0 $$0252393$$pLTS4$$xU10851
000141843 909C0 $$0252392$$pLTS2$$xU10380
000141843 909C0 $$0252606$$pVITA$$xU13529
000141843 909CO $$ooai:infoscience.tind.io:141843$$pconf$$pSTI$$pENAC$$qGLOBAL_SET
000141843 917Z8 $$x173008
000141843 937__ $$aEPFL-CONF-141843
000141843 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000141843 980__ $$aCONF