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» Boosting Object Detection Using Feature Selection
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ACCV
2010
Springer
14 years 9 months ago
Human Detection in Video over Large Viewpoint Changes
In this paper, we aim to detect human in video over large viewpoint changes which is very challenging due to the diversity of human appearance and motion from a wide spread of view...
Genquan Duan, Haizhou Ai, Shihong Lao
TRECVID
2008
15 years 3 months ago
PicSOM Experiments in TRECVID 2008
Our experiments in TRECVID 2008 include participation in the high-level feature extraction, automatic search, video summarization, and video copy detection tasks, using a common s...
Markus Koskela, Mats Sjöberg, Ville Viitaniem...
IJCV
2010
217views more  IJCV 2010»
15 years 26 days ago
Volumetric Features for Video Event Detection
Real-world actions occur often in crowded, dynamic environments. This poses a difficult challenge for current approaches to video event detection because it is difficult to segm...
Yan Ke, Rahul Sukthankar, Martial Hebert
119
Voted
PAMI
2010
205views more  PAMI 2010»
15 years 24 days ago
Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing
In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...
Long Zhu, Yuanhao Chen, Alan L. Yuille
103
Voted
ROBOCUP
2004
Springer
103views Robotics» more  ROBOCUP 2004»
15 years 7 months ago
A Constructive Feature Detection Approach for Robotic Vision
We describe a new method for detecting features on a marked RoboCup field. We implemented the framework for robots with omnidirectional vision, but the method can be easily adapte...
Felix von Hundelshausen, Michael Schreiber, Ra&uac...