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CVPR
2003
IEEE
14 years 8 months ago
Learning Object Intrinsic Structure for Robust Visual Tracking
In this paper, a novel method to learn the intrinsic object structure for robust visual tracking is proposed. The basic assumption is that the parameterized object state lies on a...
Qiang Wang, Guangyou Xu, Haizhou Ai
CVPR
2009
IEEE
15 years 1 months ago
Learning Visual Flows: A Lie Algebraic Approach
We present a novel method for modeling dynamic visual phenomena, which consists of two key aspects. First, the in- tegral motion of constituent elements in a dynamic scene is ca...
Dahua Lin, W. Eric L. Grimson, John W. Fisher III
IROS
2008
IEEE
129views Robotics» more  IROS 2008»
14 years 1 months ago
Cross-modal body representation based on visual attention by saliency
Abstract— In performing various kinds of tasks, body representation is one of the most fundamental issues for physical agents (humans, primates, and robots). Especially during to...
Mai Hikita, Sawa Fuke, Masaki Ogino, Minoru Asada
CVPR
2006
IEEE
14 years 8 months ago
Robust Visual Tracking Using Case-Based Reasoning with Confidence
The paper describes a simple but robust framework for visual object tracking in a video sequence. Compared with the existing tracking techniques, our proposed tracking technique h...
Zhiwei Zhu, Wenhui Liao, Qiang Ji
CVPR
2010
IEEE
14 years 2 months ago
Efficient Action Spotting based on a Spacetime Oriented Structure Representation
This paper addresses action spotting, the spatiotemporal detection and localization of human actions in video. A novel compact local descriptor of video dynamics in the context of...
Konstantinos Derpanis, Mikhail Sizintsev, Kevin Ca...