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» Measuring empirical computational complexity
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ICPR
2008
IEEE
16 years 2 months ago
Online Feature Evaluation For Object Tracking Using Kalman Filter
An online feature evaluation method for visual object tracking is put forward in this paper. Firstly, a combined feature set is built using color histogram (HC) bins and gradien...
Zhenjun Han, Qixiang Ye, Jianbin Jiao+
AVSS
2009
IEEE
16 years 1 months ago
Context-Based Reasoning Using Ontologies to Adapt Visual Tracking in Surveillance
— Classical tracking methods are often insufficient when dealing with complex scenarios. In order to solve tracking errors, innovative techniques based on the use of information ...
Juan Gómez-Romero, Miguel A. Patricio, Jes&...
ICASSP
2009
IEEE
16 years 1 months ago
A low-complexity spectro-temporal based perceptual model
The use of psychoacoustical masking models for audio coding applications has been wide spread over the past decades. In such applications, it is typically assumed that the origina...
Cees Taal, Richard Heusdens
CSCWD
2009
Springer
16 years 29 days ago
Random stimulus generation with self-tuning
Constrained random simulation methodology still plays an important role in hardware verification due to the limited scalability of formal verification, especially for the large an...
Yanni Zhao, Jinian Bian, Shujun Deng, Zhiqiu Kong
ICASSP
2008
IEEE
16 years 25 days ago
Abnormal event detection based on trajectory clustering by 2-depth greedy search
Clustering-based approaches for abnormal video event detection have been proven to be effective in the recent literature. Based on the framework proposed in our previous work [1],...
Fan Jiang, Ying Wu, Aggelos K. Katsaggelos