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» Pedestrian Detection: An Evaluation of the State of the Art
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ECCV
2008
Springer
15 years 3 months ago
Detecting Carried Objects in Short Video Sequences
We propose a new method for detecting objects such as bags carried by pedestrians depicted in short video sequences. In common with earlier work on the same problem, the method sta...
Dima Damen, David Hogg
SP
2010
IEEE
212views Security Privacy» more  SP 2010»
13 years 8 months ago
State of the Art: Automated Black-Box Web Application Vulnerability Testing
—Black-box web application vulnerability scanners are automated tools that probe web applications for security vulnerabilities. In order to assess the current state of the art, w...
Jason Bau, Elie Bursztein, Divij Gupta, John C. Mi...
CVPR
2011
IEEE
12 years 8 months ago
Who are you with and where are you Going?
We propose an agent-based behavioral model of pedestrians to improve tracking performance in realistic scenarios. In this model, we view pedestrians as decision-making agents who ...
Kota Yamaguchi, Alexander Berg, Luis Ortiz, Tamara...
CVPR
2009
IEEE
2358views Computer Vision» more  CVPR 2009»
15 years 1 days ago
Pictorial Structures Revisited: People Detection and Articulated Pose Estimation
Non-rigid object detection and articulated pose estimation are two related and challenging problems in computer vision. Numerous models have been proposed over the years and oft...
Mykhaylo Andriluka (TU Darmstadt), Stefan Roth (TU...
ICMCS
2005
IEEE
182views Multimedia» more  ICMCS 2005»
13 years 10 months ago
An integrated approach for generic object detection using kernel PCA and boosting
In this paper we present a novel framework for generic object class detection by integrating Kernel PCA with AdaBoost. The classifier obtained in this way is invariant to changes...
Saad Ali, Mubarak Shah