资源分类
》 资源 》论文》Dynamic Integration of Generalized Cues for Person Tracking

Dynamic Integration of Generalized Cues for Person Tracking

2020-03-30 | |  57 |   49 |   0

Abstract

We present an approach for the dynamic combination of mul- tiple cues in a particle filter-based tracking framework. The proposed algorithm is based on a combination of democratic integration and lay- ered sampling. It is capable of dealing with deficiencies of single fea- tures as well as partial occlusion using the very same dynamic fusion mechanism. A set of simple but fast cues is defined, which allow us to cope with limited computational resources. The system is capable of au- tomatic track initialization by means of a dedicated attention tracker permanently scanning the surroundings.

上一篇：Robust Object Tracking by Hierarchical Association of Detection Responses

下一篇：A Column-Pivoting Based Strategy for Monomial Ordering in Numerical Gr?bner Basis Calculations

用户评价
全部评价

热门资源

  • Learning to Predi...

    Much of model-based reinforcement learning invo...

  • Stratified Strate...

    In this paper we introduce Stratified Strategy ...

  • The Variational S...

    Unlike traditional images which do not offer in...

  • Learning to learn...

    The move from hand-designed features to learned...

  • A Mathematical Mo...

    Direct democracy, where each voter casts one vo...