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DICTA
2007
13 years 9 months ago
Tracking with Multiple Cameras for Video Surveillance
The large shape variability and partial occlusions challenge most object detection and tracking methods for nonrigid targets such as pedestrians. Single camera tracking is limited...
Manas Kamal Bhuyan, Brian C. Lovell, Abbas Bigdeli
AVSS
2009
IEEE
14 years 22 days ago
Comparative Evaluation of Stationary Foreground Object Detection Algorithms Based on Background Subtraction Techniques
In several video surveillance applications, such as the detection of abandoned/stolen objects or parked vehicles, the detection of stationary foreground objects is a critical task...
Álvaro Bayona, Juan Carlos San Miguel, Jos&...
CLEAR
2006
Springer
196views Biometrics» more  CLEAR 2006»
13 years 11 months ago
PittPatt Face Detection and Tracking for the CLEAR 2006 Evaluation
Abstract. This paper describes Pittsburgh Pattern Recognition's participation in the face detection and tracking tasks for the CLEAR 2006 evaluation. We first give a system ov...
Michael C. Nechyba, Henry Schneiderman
CVPR
2011
IEEE
13 years 2 months ago
Stable Multi-Target Tracking in Real-Time Surveillance Video
The majority of existing pedestrian trackers concentrate on maintaining the identities of targets, however systems for remote biometric analysis or activity recognition in surveill...
Ben Benfold and Ian Reid
ICPR
2008
IEEE
14 years 2 months ago
Frame-skipping tracking for single object with global motion detection
Frame-skipping videos usually appear in wireless video sensor networks which have wirelessly interconnected devices that are able to ubiquitously retrieve video content from the e...
Ming Anlong, Ma Huadong