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» Tracking Large Variable Numbers of Objects in Clutter
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CVPR
2010
IEEE
14 years 7 days ago
An Online Approach: Learning-Semantic-Scene-by-Tracking and Tracking-by-Learning-Semantic-Scene
Learning the knowledge of scene structure and tracking a large number of targets are both active topics of computer vision in recent years, which plays a crucial role in surveilla...
Xuan Song, Xiaowei Shao, Huijing Zhao, Jinshi Cui,...
IROS
2009
IEEE
143views Robotics» more  IROS 2009»
14 years 2 months ago
Systems and algorithms for autonomously simultaneous observation of multiple objects using robotic PTZ cameras assisted by a wid
— We report an autonomous observation system with multiple pan-tilt-zoom (PTZ) cameras assisted by a fixed wideangle camera. The wide-angle camera provides large but low resolut...
Yiliang Xu, Dezhen Song
ICCV
2007
IEEE
14 years 9 months ago
Finite-Element Level-Set Curve Particles
Particle filters encode a time-evolving probability density by maintaining a random sample from it. Level sets represent closed curves as zero crossings of functions of two variab...
Tingting Jiang, Carlo Tomasi
MVA
2007
158views Computer Vision» more  MVA 2007»
13 years 7 months ago
Hybrid object labelling in digital images
The application of a technique for labelling connected components based on the classical recursive technique is studied. The recursive approach permits labelling, counting, and cha...
Julio Martín-Herrero
CVPR
2010
IEEE
14 years 1 months ago
Latent Hierarchical Structural Learning for Object Detection
We present a latent hierarchical structural learning method for object detection. An object is represented by a mixture of hierarchical tree models where the nodes represent objec...
Leo Zhu, Yuanhao Chen, Antonio Torralba, Alan Yuil...