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» Classifiers for Motion
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ICIP
2007
IEEE
13 years 11 months ago
Real-Time Pedestrian Detection using Eigenflow
We propose a novel learning algorithm to detect moving pedestrians from a stationary camera in real-time. The algorithm learns a discriminative model based on eigenflow, i.e. the ...
Dhiraj Goel, Tsuhan Chen
ECCV
2006
Springer
14 years 9 months ago
A Tuned Eigenspace Technique for Articulated Motion Recognition
In this paper, we introduce a tuned eigenspace technique so as to classify human motion. The method presented here overcomes those problems related to articulated motion and dress...
M. Masudur Rahman, Antonio Robles-Kelly
ECCV
2002
Springer
14 years 9 months ago
Tracking and Object Classification for Automated Surveillance
In this paper we discuss the issues that need to be resolved before fully automated outdoor surveillance systems can be developed, and present solutions to some of these problems. ...
Omar Javed, Mubarak Shah
ICCV
2001
IEEE
14 years 9 months ago
Ambiguous Configurations for the 1D Structure and Motion Problem
In this paper we investigate, determine and classify the critical configurations for solving structure and motion problems for 1D retina vision. We give a complete categorization ...
Fredrik Kahl, Kalle Åström
ICIP
2004
IEEE
14 years 9 months ago
Real-time temporal texture characterisation using block based motion co-occurrence statistics
Contemporary temporal texture classification methods use pixel based features thus making the process slow for time sensitive applications like video indexing and surveillance. In...
Ashfaqur Rahman, M. Manzur Murshed