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» Detecting and Tracking Moving Objects for Video Surveillance
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ICPR
2008
IEEE
15 years 8 months ago
Model-based combined tracking and resolution enhancement
Wide area surveillance requires high-resolution images of the object of interest derived possibly from only low-resolution video of the whole scene. We propose a combined tracking...
Annika Kuhl, Tele Tan, Svetha Venkatesh
PAMI
2011
14 years 8 months ago
Learning a Family of Detectors via Multiplicative Kernels
—Object detection is challenging when the object class exhibits large within-class variations. In this work, we show that foreground-background classification (detection) and wit...
Quan Yuan, Ashwin Thangali, Vitaly Ablavsky, Stan ...
ICPR
2004
IEEE
16 years 2 months ago
Probabilistic Classification Between Foreground Objects and Background
Tracking of deformable objects like humans is a basic operation in many surveillance applications. Objects are detected as they enter the field of view of the camera and they are ...
Paul J. Withagen, Klamer Schutte, Frans C. A. Groe...
ICPR
2004
IEEE
16 years 2 months ago
Multi Feature Path Modeling for Video Surveillance
This paper proposes a novel method for detecting nonconforming trajectories of objects as they pass through a scene. Existing methods mostly use spatial features to solve this pro...
Imran N. Junejo, Mubarak Shah, Omar Javed
CSIE
2009
IEEE
15 years 8 months ago
Smoke Detection in Video
In this paper, we propose a method for smoke detection in outdoor video sequences. We assume that the camera is mounted on a pan/tilt device. The proposed method is composed of th...
DongKeun Kim, Yuan-Fang Wang