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» Robust background estimation for complex video sequences
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TCSV
2010
13 years 2 months ago
Action Detection in Cluttered Video With Successive Convex Matching
We propose a novel successive convex matching method for human action detection in cluttered video. Human actions are represented as sequences of poses, and specific actions are de...
Hao Jiang, Mark S. Drew, Ze-Nian Li
CVPR
2005
IEEE
14 years 1 months ago
Online Selecting Discriminative Tracking Features Using Particle Filter
The paper proposes a method to keep the tracker robust to background clutters by online selecting discriminative features from a large feature space. Furthermore, the feature sele...
Jianyu Wang, Xilin Chen, Wen Gao
ICIP
2009
IEEE
13 years 5 months ago
Graph-based foreground extraction in extended color space
We propose a region-based method to extract semantic foreground regions from color video sequences with static backgrounds. First, we introduce a new distance measure for backgrou...
Hansung Kim, Adrian Hilton
ISCAS
2003
IEEE
185views Hardware» more  ISCAS 2003»
14 years 1 months ago
A semi-fragile object based video authentication system
This paper presents a semi-fragile object-based authentication solution for MPEG4 video. To protect the integrity of the video objects / sequences, a content-based watermark is em...
Dajun He, Qibin Sun, Qi Tian
ECCV
2006
Springer
14 years 9 months ago
Feature Harvesting for Tracking-by-Detection
We propose a fast approach to 3?D object detection and pose estimation that owes its robustness to a training phase during which the target object slowly moves with respect to the ...
Mustafa Özuysal, Vincent Lepetit, Franç...