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ICPR
2006
IEEE
14 years 5 months ago
Evaluating Feature Importance for Object Classification in Visual Surveillance
Feature-based object classification, which distinguish a moving object to human or vehicle, is important in visual surveillance. In order to improve classification performance, in...
Hironobu Fujiyoshi, Masamitsu Tsuchiya
CVPR
2007
IEEE
13 years 8 months ago
Object Classification in Visual Surveillance Using Adaboost
In this paper, we present a method of object classification within the context of Visual Surveillance. Our goal is the classification of tracked objects into one of the two classe...
John-Paul Renno, Dimitrios Makris, Graeme A. Jones
ICPR
2008
IEEE
14 years 5 months ago
Boosting local feature descriptors for automatic objects classification in traffic scene surveillance
We address the problem of automatic object classification for traffic scene surveillance, which is very challenging for the low resolution videos, large intraclass variations and ...
Kaiqi Huang, Min Li, Tieniu Tan, Zhaoxiang Zhang
MTA
2007
183views more  MTA 2007»
13 years 3 months ago
The design of a wireless real-time visual surveillance system
In this paper, we study the important issues in the design of an efficient WIreless real-time visual SurveillancE System (WISES). Two important considerations are to minimize: (1)...
Kam-yiu Lam, Calvin K. H. Chiu
TCSV
2011
12 years 11 months ago
Integrating Spatio-Temporal Context With Multiview Representation for Object Recognition in Visual Surveillance
—We present in this paper an integrated solution to rapidly recognizing dynamic objects in surveillance videos by exploring various contextual information. This solution consists...
Xiaobai Liu, Liang Lin, Shuicheng Yan, Hai Jin, We...