Apr 1, 2014 · In this study, the authors show that fusing target information from multiple views can avoid these problems and lead to a more robust tracker.
In this study, the authors show that fusing target information from multiple views can avoid these problems and lead to a more robust tracker. At each camera ...
In this study, the authors show that fusing target information from multiple views can avoid these problems and lead to a more robust tracker. At each camera ...
In this study, the authors show that fusing target information from multiple views can avoid these problems and lead to a more robust tracker. At each ...
This paper addresses the issue of robust visual tracking, in which an effective tracker based on multi-feature fusion under a collaborative local-global ...
Robust Visual Tracking for Multiple Targets - ResearchGate
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Oct 22, 2024 · We address the problem of robust multi-target tracking within the application of hockey player tracking. The particle filter tech- nique is ...
In this paper we propose a data fusion approach via sparse representation with applications to robust visual tracking. Specifically, the image patches from ...
We address the problem of robust multi-target tracking ... Visual tracking based on adaptive interacting multiple model particle filter by fusing multiples cues.
This paper proposes a criterion of feature tracking reliability and conduct a novel feature adaptive fusion framework.
In this paper, a novel approach to integrate multiple similarity measures is pro-posed. First pairs of similarity measures are combined with a diffusion process ...
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