Title:
Visual-saliency--tracking
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Description: Aimingat solvingthetrackingproblemsunder thecircumstancesof abrupt motion，aparticlefilter trackerisproposedbasedonvisual saliencymodel． Thistrackerdetectsobject fromthesalient regionsinthesaliencymapby theway of winner-take-all andinhibition-of-return． Thedetectingresult istakenasaglobal proposal distributionandthenparticlesaresampledfromit therefore，
theglobal statespacecanbesearchedinorder toavoidsuffering fromthelocal minimumproblem．
Moreover，inorder toincreasethesaliencyof theobject regioninthesaliency map，thebottom-up
andtop-downcomputational modelsarecombinedtogether． Thentheweightsof thefeaturemapsare
calculatedaccordingto thetarget templateandsaliency maps arefusedadaptively． Comparedwith
several other trackingalgorithms，
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Visual saliency tracking.pdf
