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» Robust object detection scheme using feature selection
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CIARP
2007
Springer
15 years 3 months ago
Robust Color Contour Object Detection Invariant to Shadows
In this work a new robust color and contour based object detection method in images with varying shadows is presented. The method relies on a physics-based contour detector that em...
Jorge Scandaliaris, Michael Villamizar, Juan Andra...
MCAM
2007
Springer
238views Multimedia» more  MCAM 2007»
15 years 3 months ago
A Three-Level Scheme for Real-Time Ball Tracking
A three-level method is proposed to achieve robust and real-time ball tracking in soccer videos. It includes object-, intra-trajectory-, and intertrajectory-level processing. Due t...
Xiaofeng Tong, Tao Wang, Wenlong Li, Yimin Zhang, ...
ICIP
2000
IEEE
15 years 11 months ago
Integrated Compression and Linear Feature Detection in the Wavelet Domain
In many Earth observation missions, a large amount of data is collected by the on-board sensors, and must be transmitted to ground through a channel with limited capacity; in this...
Enrico Magli, Gabriella Olmo
TMI
2011
147views more  TMI 2011»
14 years 4 months ago
Labeling of Lumbar Discs Using Both Pixel- and Object-Level Features With a Two-Level Probabilistic Model
Abstract—Backbone anatomical structure detection and labeling is a necessary step for various analysis tasks of the vertebral column. Appearance, shape and geometry measurements ...
Raja' S. Alomari, Jason J. Corso, Vipin Chaudhary
TIP
2008
125views more  TIP 2008»
14 years 9 months ago
Integrating Color and Shape-Texture Features for Adaptive Real-Time Object Tracking
We extend the standard mean-shift tracking algorithm to an adaptive tracker by selecting reliable features from color and shape-texture cues according to their descriptive ability....
Junqiu Wang, Yasushi Yagi