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针对突变运动下的目标跟踪问题,提出一种基于视觉显著性的粒子滤波跟踪算法. 该算 法将基于视觉注意机制的视觉显著图引入粒子滤波框架中,根据视觉显著图的显著性区域,按 胜者为王和返回抑制机制进行目标检测-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,
Date : 2026-01-10 Size : 536kb User : 陈云
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