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DAGM
2001
Springer
15 years 6 months ago
A Probabilistic Approach to Simultaneous Segmentation, Object Recognition, 3D Localization, and Tracking Using Stereo
Vision systems for service robotics applications have to cope with varying environmental conditions, partial occlusions, complex backgrounds and a large number of distractors (clut...
Georg von Wichert
ICCV
2011
IEEE
14 years 1 months ago
Multi-hypothesis Motion Planning for Visual Object Tracking
In this paper, we propose a long-term motion model for visual object tracking. In crowded street scenes, persistent occlusions are a frequent challenge for tracking algorithm and ...
Haifeng Gong, Jack Sim, Maxim Likhachev, Jianbo Sh...
ICIP
2005
IEEE
16 years 3 months ago
Joint feature-spatial-measure space: a new approach to highly efficient probabilistic object tracking
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...
Feng Chen, XiaoTong Yuan, ShuTang Yang
ICIP
2005
IEEE
16 years 3 months ago
Multi-step active object tracking with entropy based optimal actions using the sequential Kalman filter
We describe an enhanced method for the selection of optimal sensor actions in a probabilistic state estimation framework. We apply this to the selection of optimal focal lengths f...
Benjamin Deutsch, Heinrich Niemann, Joachim Denzle...
ICIP
2003
IEEE
16 years 3 months ago
Video object segmentation and tracking in stereo sequences using adaptable neural networks
In this paper, an adaptive neural network architecture is proposed for efficient video object segmentation and tracking of stereoscopic sequences. The scheme includes (a) a retrai...
Nikolaos D. Doulamis, Anastasios D. Doulamis