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» Incremental Learning for Visual Tracking
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101
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PREMI
2005
Springer
15 years 6 months ago
Hybrid Hierarchical Learning from Dynamic Scenes
The work proposes a hierarchical architecture for learning amic scenes at various levels of knowledge abstraction. The raw visual information is processed at different stages to g...
Prithwijit Guha, Pradeep Vaghela, Pabitra Mitra, K...
92
Voted
ICMCS
2007
IEEE
138views Multimedia» more  ICMCS 2007»
15 years 6 months ago
Probabilistic Visual Tracking via Robust Template Matching and Incremental Subspace Update
In this paper, we present a probabilistic algorithm for visual tracking that incorporates robust template matching and incremental subspace update. There are two template matching...
Xue Mei, Shaohua Kevin Zhou, Fatih Porikli
141
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CVPR
2010
IEEE
15 years 5 months ago
Visual Tracking via Incremental Self-tuning Particle Filtering on the Affine Group
Min Li, Wei Chen, Kaiqi Huang, Tieniu Tan
CVPR
2008
IEEE
16 years 2 months ago
Dynamic visual category learning
Dynamic visual category learning calls for efficient adaptation as new training images become available or new categories are defined, existing training images or categories becom...
Tom Yeh, Trevor Darrell
ICONIP
2009
14 years 10 months ago
Robust Incremental Subspace Learning for Object Tracking
In this paper, we introduce a novel incremental subspace based object tracking algorithm. The two major contributions of our work are the Robust PCA based occlusion handling scheme...
Gang Yu, Zhiwei Hu, Hongtao Lu