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» Object Detection using Background Context
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CVPR
1999
IEEE
14 years 9 months ago
Generic Object Detection using Model Based Segmentation
This paper presents a novel approach for detection and segmentation of generic shapes in cluttered images. The underlying assumption is that generic objects that are man made, fre...
Zhiqian Wang, Jezekiel Ben-Arie
ECCV
2010
Springer
14 years 11 hour ago
Cascaded Confidence Filtering for Improved Tracking-by-Detection
We propose a novel approach to increase the robustness of object detection algorithms in surveillance scenarios. The cascaded confidence filter successively incorporates constraint...
CVPR
2009
IEEE
1002views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Classifier Grids for Robust Adaptive Object Detection
In this paper we present an adaptive but robust object detector for static cameras by introducing classifier grids. Instead of using a sliding window for object detection we pro...
Peter M. Roth, Sabine Sternig, Helmut Grabner, Hor...
TSP
2008
89views more  TSP 2008»
13 years 7 months ago
Optimal Filters on the Sphere
We derive optimal filters on the sphere in the context of detecting compact objects embedded in a stochastic background process. The matched filter and the scale adaptive filter ar...
Jason D. McEwen, Michael P. Hobson, Anthony N. Las...
WSCG
2004
216views more  WSCG 2004»
13 years 9 months ago
A Fast and Accurate Faces Localization using Gradient Method
Detecting faces in images with complex background is a difficult task. To solve this problem we decided to use modified gradient method with oval object detection. This method is ...
Georgy Kukharev, Pawel Masicz, Piotr Masicz