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ECCV
2010
Springer
13 years 9 months ago
Weakly Supervised Shape Based Object Detection with Particle Filter
Abstract. We describe an efficient approach to construct shape models composed of contour parts with partially-supervised learning. The proposed approach can easily transfer parts ...
ICPR
2008
IEEE
14 years 5 months ago
A method of small object detection and tracking based on particle filters
In this paper an efficient method of small object localization is proposed that integrates detection and tracking. The system is initialized using a strong detector and then it lo...
Chao Zhang, Joan Llach, Yu Huang
BMVC
2010
13 years 2 months ago
A 2D+t Feature-preserving Non-local Means Filter for Image Denoising and Improved Detection of Small and Weak Particles
A feature-preserving non-local means (FP-NLM) filter has been developed recently for denoising images containing small and weak particlelike objects. It explores the commonly used...
Lei Yang, Richard Parton, Graeme Ball, Zhen Qiu, A...
ICCV
2009
IEEE
14 years 9 months ago
Shape Guided Contour Grouping with Particle Filters
We propose a novel framework for contour based object detection and recognition, which we formulate as a joint contour fragment grouping and labeling problem. For a given set of...
ChengEn Lu, Longin Jan Latecki, Nagesh Adluru, Hai...
ECCV
2006
Springer
14 years 6 months ago
A Boundary-Fragment-Model for Object Detection
The objective of this work is the detection of object classes, such as airplanes or horses. Instead of using a model based on salient image fragments, we show that object class det...
Andreas Opelt, Axel Pinz, Andrew Zisserman