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ICPR
2006
IEEE
14 years 8 months ago
A Viewpoint Invariant Approach for Crowd Counting
This paper describes a viewpoint invariant learningbased method for counting people in crowds from a single camera. Our method takes into account feature normalization to deal wit...
Dan Kong, Douglas Gray, Hai Tao
ICIP
2009
IEEE
14 years 8 months ago
Learning Contextual Rules For Priming Object Categories In Images
In this paper we introduce and exploit the concept of contextual rules in the field of object detection. These rules are defined as associations between different object likelihoo...
DAGM
2010
Springer
13 years 7 months ago
Tracking People in Broadcast Sports
Abstract. We present a method for tracking people in monocular broadcast sports videos by coupling a particle filter with a vote-based confidence map of athletes, appearance featur...
Angela Yao, Dominique Uebersax, Juergen Gall, Luc ...
IJCV
2006
165views more  IJCV 2006»
13 years 7 months ago
A Critical View of Context
In this study, a discriminative detector for object context is designed and tested. The context-feature is simple to implement, feed-forward, and effective across multiple object t...
Lior Wolf, Stanley M. Bileschi
CVPR
2012
IEEE
11 years 10 months ago
A data driven method for feature transformation
Most image understanding algorithms begin with the extraction of information thought to be relevant to the particular task. This is commonly known as feature extraction and has, u...
Mert Dikmen, Derek Hoiem, Thomas S. Huang