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» Foreground Object Detection Using Two Successive Images
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ICIP
2008
IEEE
15 years 3 months ago
Boosted Interactively Distributed Particle Filter for automatic multi-object tracking
In this paper, we propose a Boosted Interactively Distributed Particle Filter (BIDPF) to address the problem of automatic multi-object tracking in the application of player tracki...
Yi Wu, Xiaofeng Tong, Yimin Zhang, Hanqing Lu
ECCV
2008
Springer
15 years 11 months ago
Learning Spatial Context: Using Stuff to Find Things
The sliding window approach of detecting rigid objects (such as cars) is predicated on the belief that the object can be identified from the appearance in a small region around the...
Geremy Heitz, Daphne Koller
ICRA
2010
IEEE
164views Robotics» more  ICRA 2010»
14 years 8 months ago
Boundary detection based on supervised learning
— Detecting the boundaries of objects is a key step in separating foreground objects from the background, which is useful for robotics and computer vision applications, such as o...
Kiho Kwak, Daniel F. Huber, Jeongsook Chae, Takeo ...
86
Voted
3DPVT
2006
IEEE
247views Visualization» more  3DPVT 2006»
15 years 1 months ago
Contour-Based Object Detection in Range Images
This paper presents a novel object recognition approach based on range images. Due to its insensitivity to illumination, range data is well suited for reliable silhouette extracti...
Stefan Stiene, Kai Lingemann, Andreas Nüchter...
ICIP
2006
IEEE
15 years 11 months ago
Two-Stage Optimal Component Analysis
Linear techniques are widely used to reduce the dimension of image representation spaces in applications such as image indexing and object recognition. Optimal Component Analysis ...
Yiming Wu, Xiuwen Liu, Washington Mio, Kyle A. Gal...