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» Motion Feature Detection Using Steerable Flow Fields
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CVPR
2007
IEEE
15 years 11 months ago
Detection and segmentation of moving objects in highly dynamic scenes
Detecting and segmenting moving objects in dynamic scenes is a hard but essential task in a number of applications such as surveillance. Most existing methods only give good resul...
Aurélie Bugeau, Patrick Pérez
CVPR
2010
IEEE
15 years 5 months ago
Chaotic Invariants of Lagrangian Particle Trajectories for Anomaly Detection in Crowded Scenes
A novel method for crowd flow modeling and anomaly detection is proposed for both coherent and incoherent scenes. The novelty is revealed in three aspects. First, it is a unique ut...
Shandong Wu, Brian E. Moore, and Mubarak Shah
ICPR
2000
IEEE
15 years 1 months ago
Optic-Flow Information Extraction with Directional Gaussian-Derivatives
This work is intended to give some ideas to extract motion information from an image sequence. A directional energy is defined in terms of the 1-D Hermite transform coefficients o...
J. Luis Silván-Cárdenas, Boris Escal...
ECCV
2008
Springer
15 years 11 months ago
SIFT Flow: Dense Correspondence across Different Scenes
While image registration has been studied in different areas of computer vision, aligning images depicting different scenes remains a challenging problem, closer to recognition tha...
Ce Liu, Jenny Yuen, Antonio B. Torralba, Josef Siv...
ECCV
1998
Springer
15 years 11 months ago
Mobile Robot Localisation Using Active Vision
Active cameras provide a mobile robot with the capability to fixate and track features over a wide field of view. However, their use emphasises serial attention focussing on a succ...
Andrew J. Davison, David W. Murray