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GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
15 years 1 months ago
Tracking multiple objects in non-stationary video
One of the key problems in computer vision and pattern recognition is tracking. Multiple objects, occlusion, and tracking moving objects using a moving camera are some of the chal...
Hoang Nguyen, Bir Bhanu
PRL
2007
166views more  PRL 2007»
14 years 9 months ago
Boosted Landmarks of Contextual Descriptors and Forest-ECOC: A novel framework to detect and classify objects in cluttered scene
In this paper, we present a novel methodology to detect and recognize objects in cluttered scenes by proposing boosted contextual descriptors of landmarks in a framework of multi-...
Sergio Escalera, Oriol Pujol, Petia Radeva
ICIP
2007
IEEE
15 years 11 months ago
A High-Speed Vision System for Moment-Based Analysis of Numerous Objects
We describe a high-speed vision system for real-time applications, which is capable of processing visual information at a frame rate of 1 kfps, including both imaging and processi...
Yoshihiro Watanabe, Takashi Komuro, Masatoshi Ishi...
NN
2002
Springer
114views Neural Networks» more  NN 2002»
14 years 9 months ago
Learning the parts of objects by auto-association
Recognition-by-components is one of the possible strategies proposed for object recognition by the brain, but little is known about the low-level mechanism by which the parts of o...
Xijin Ge, Shuichi Iwata
CVPR
2007
IEEE
16 years 4 days ago
Joint Object Segmentation and Behavior Classification in Image Sequences
In this paper, we propose a general framework for fusing bottom-up segmentation with top-down object behavior classification over an image sequence. This approach is beneficial fo...
Laura Gui, Jean-Philippe Thiran, Nikos Paragios