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» Object detection with vector quantized binary features
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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 ...
CLOR
2006
15 years 1 months ago
Video Google: Efficient Visual Search of Videos
We describe an approach to object retrieval which searches for and localizes all the occurrences of an object in a video, given a query image of the object. The object is represent...
Josef Sivic, Andrew Zisserman
73
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ICASSP
2011
IEEE
14 years 1 months ago
Artificial bandwidth extension of spectral envelope with temporal clustering
We present a new wideband spectral envelope estimation framework for the artificial bandwidth extension problem. The proposed framework builds temporal clusters of the joint sub-...
Can Yagli, Engin Erzin
GECCO
2010
Springer
232views Optimization» more  GECCO 2010»
14 years 10 months ago
Genetic algorithms for automatic classification of moving objects
This paper presents an integrated approach, combining a state-of-the-art commercial object detection system and genetic algorithms (GA)-based learning for automatic object classif...
Omid David-Tabibi, Nathan S. Netanyahu, Yoav Rosen...
CVPR
2007
IEEE
15 years 11 months ago
Multi-Object Tracking Using Color, Texture and Motion
In this paper, we introduce a novel real-time tracker based on color, texture and motion information. RGB color histogram and correlogram (autocorrelogram) are exploited as color ...
Matti Pietikäinen, Valtteri Takala