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» A Trainable System for Object Detection
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NIPS
2004
13 years 8 months ago
Contextual Models for Object Detection Using Boosted Random Fields
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
Antonio Torralba, Kevin P. Murphy, William T. Free...
ICCV
2007
IEEE
14 years 9 months ago
Coupled Detection and Trajectory Estimation for Multi-Object Tracking
We present a novel approach for multi-object tracking which considers object detection and spacetime trajectory estimation as a coupled optimization problem. It is formulated in a...
Bastian Leibe, Konrad Schindler, Luc J. Van Gool
CVPR
2007
IEEE
14 years 1 months ago
Moving Object Detection on a Runway Prior to Landing Using an Onboard Infrared Camera
Determining the status of a runway prior to landing is essential for any aircraft, whether manned or unmanned. In this paper, we present a method that can detect moving objects on...
Cheng-Hua Pai, Yuping Lin, Gérard G. Medion...
ICASSP
2011
IEEE
12 years 11 months ago
A visual attention model combining top-down and bottom-up mechanisms for salient object detection
Selective attention in the human visual system is performed as the way that humans focus on the most important parts when observing a visual scene. Many bottom-up computational mo...
Yuming Fang, Weisi Lin, Chiew Tong Lau, Bu-Sung Le...
ICIAR
2004
Springer
14 years 23 days ago
Appearance-Based Object Detection in Space-Variant Images: A Multi-model Approach
Recently, log-polar images have been successfully used in active-vision tasks such as vergence control or target tracking. However, while the role of foveal data has been exploited...
V. Javier Traver, Alexandre Bernardino, Plinio Mor...