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» Boosting Object Detection Using Feature Selection
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GMP
2008
IEEE
192views Solid Modeling» more  GMP 2008»
15 years 5 months ago
Efficient Collision Detection Using a Dual Bounding Volume Hierarchy
We perform collision detection between static rigid objects using a bounding volume hierarchy which consists of an oriented bounding box (OBB) tree enhanced with bounding spheres. ...
Jung-Woo Chang, Wenping Wang, Myung-Soo Kim
EVENT
2001
202views more  EVENT 2001»
15 years 6 months ago
Detecting Independently Moving Objects and Their Interactions in Georeferenced Airborne Video
In airborne video, objects are tracked from a moving camera and often imaged at very low resolution. The camera movement makes it difficult to determine whether or not an object i...
J. Brian Burns
ICARCV
2002
IEEE
109views Robotics» more  ICARCV 2002»
15 years 9 months ago
Quantized wavelet features and support vector machines for on-road vehicle detection
The focus of this work is on the problem of feature selection and classification for on-road vehicle detection. In particular, we propose using quantized Haar wavelet features an...
Zehang Sun, George Bebis, Ronald Miller
CLEAR
2006
Springer
133views Biometrics» more  CLEAR 2006»
15 years 8 months ago
Multi-feature Graph-Based Object Tracking
We present an object detection and tracking algorithm that addresses the problem of multiple simultaneous targets tracking in realworld surveillance scenarios. The algorithm is bas...
Murtaza Taj, Emilio Maggio, Andrea Cavallaro
ICCV
2005
IEEE
15 years 10 months ago
Learning Hierarchical Models of Scenes, Objects, and Parts
We describe a hierarchical probabilistic model for the detection and recognition of objects in cluttered, natural scenes. The model is based on a set of parts which describe the e...
Erik B. Sudderth, Antonio B. Torralba, William T. ...