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» Detecting and Tracking Moving Objects for Video Surveillance
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ICIP
2004
IEEE
16 years 3 months ago
Adaptive eigen-backgrounds for object detection
Most tracking algorithms detect moving objects by comparing incoming images against a reference frame. Crucially, this reference image must adapt continuously to the current light...
Jonathan D. Rymel, John-Paul Renno, Darrel Greenhi...
ICPR
2008
IEEE
15 years 8 months ago
Incremental trajectory aggregation in video sequences
This article introduces new similarity measures between trajectories, in order to detect uncommon behaviors. These measures are used to find the most common trajectories in a seq...
Ionel Pop, Mihaela Scuturici, Serge Miguet
ICIP
2007
IEEE
15 years 7 months ago
Group Activity Recognition Based on ARMA Shape Sequence Modeling
In this paper, we propose a system identification approach for group activity recognition in traffic surveillance. Statistical shape theory is used to extract features, and then...
Ying Wang, Kaiqi Huang, Tieniu Tan
ICPR
2006
IEEE
16 years 2 months ago
Binocular Hand Tracking and Reconstruction Based on 2D Shape Matching
This paper presents a method for real-time 3D hand tracking in images acquired by a calibrated, possibly moving stereoscopic rig. The proposed method consists of a collection of t...
Antonis A. Argyros, Manolis I. A. Lourakis
IROS
2007
IEEE
162views Robotics» more  IROS 2007»
15 years 7 months ago
Where is your dive buddy: tracking humans underwater using spatio-temporal features
— We present an algorithm for underwater robots to track mobile targets, and specifically human divers, by detecting periodic motion. Periodic motion is typically associated wit...
Junaed Sattar, Gregory Dudek