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CVPR
2005
IEEE
15 years 9 months ago
Hand Tracking with Flocks of Features
This paper introduces “Flocks of Features,” a fast tracking method for non-rigid and highly articulated objects such as hands. It combines KLT features and a learned foregroun...
Mathias Kölsch, Matthew Turk
MMM
2005
Springer
202views Multimedia» more  MMM 2005»
15 years 9 months ago
Image Mining and Retrieval Using Hierarchical Support Vector Machines
For some time now, image retrieval approaches have been developed that use low-level features, such as colour histograms, edge distributions and texture measures. What has been la...
Ross Brown, Binh Pham
BMVC
2001
15 years 6 months ago
Learning Pixel-Wise Signal Energy for Understanding Semantics
Visual interpretation of events requires both an appropriate representation of change occurring in the scene and the application of semantics for differentiating between different...
Jeffrey Ng, Shaogang Gong
123
Voted
HAPTICS
2009
IEEE
15 years 10 months ago
Functional analysis of finger contact locations during grasping
In this paper we present a method for studying human selection of fingertip contact point locations during grasping and manipulation. Our aim is to perform a functional analysis,...
Matei T. Ciocarlie, Hao Dang, Jamie Lukos, Marco S...
122
Voted
ACCV
2007
Springer
15 years 10 months ago
Robust Foreground Extraction Technique Using Gaussian Family Model and Multiple Thresholds
Abstract. We propose a robust method to extract silhouettes of foreground objects from color video sequences. To cope with various changes in the background, the background is mode...
Hansung Kim, Ryuuki Sakamoto, Itaru Kitahara, Tomo...