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» Auto-context and its application to high-level vision tasks
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CVPR
2007
IEEE
14 years 9 months ago
Joint Object Segmentation and Behavior Classification in Image Sequences
In this paper, we propose a general framework for fusing bottom-up segmentation with top-down object behavior classification over an image sequence. This approach is beneficial fo...
Laura Gui, Jean-Philippe Thiran, Nikos Paragios
ICPR
2006
IEEE
14 years 8 months ago
Ent-Boost: Boosting Using Entropy Measure for Robust Object Detection
Recently, boosting is used widely in object detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifiers which is on...
Duy-Dinh Le, Shin'ichi Satoh
CVPR
2010
IEEE
14 years 4 months ago
Supervised Translation-Invariant Sparse Coding
In this paper, we propose a novel supervised hierarchical sparse coding model based on local image descriptors for classification tasks. The supervised dictionary training is perf...
Jianchao Yang, Kai Yu, Thomas Huang
CVPR
2010
IEEE
14 years 2 months ago
Interest Seam Image
We propose interest seam image, an efficient visual synopsis for video. To extract an interest seam image, a spatiotemporal energy map is constructed for the target video shot. T...
Xiao Zhang, Gang Hua, Lei Zhang, Heung-Yeung Shum
ACCV
2007
Springer
14 years 1 months ago
Flea, Do You Remember Me?
The ability to detect and recognize individuals is essential for an autonomous robot interacting with humans even if computational resources are usually rather limited. In general ...
Michael Grabner, Helmut Grabner, Joachim Pehserl, ...