Introduction - If you have any usage issues, please Google them yourself
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,