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» Pedestrian Detection: A Benchmark
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ICCV
2005
IEEE
16 years 7 months ago
Local Features for Object Class Recognition
In this paper we compare the performance of local detectors and descriptors in the context of object class recognition. Recently, many detectors / descriptors have been evaluated ...
Krystian Mikolajczyk, Bastian Leibe, Bernt Schiele
ECCV
2008
Springer
16 years 7 months ago
Scene Segmentation for Behaviour Correlation
Abstract. This paper presents a novel framework for detecting abnormal pedestrian and vehicle behaviour by modelling cross-correlation among different co-occurring objects both loc...
Jian Li, Shaogang Gong, Tao Xiang
ICPR
2008
IEEE
16 years 7 months ago
Scale-invariant medial features based on gradient vector flow fields
We propose a novel set of medial feature interest points based on gradient vector flow (GVF) fields [18]. We exploit the long ranging GVF fields for symmetry estimation by calcula...
Cristóbal Curio, David Engel
ICPR
2004
IEEE
16 years 7 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
CVPR
2010
IEEE
16 years 2 months ago
Efficient Extraction of Human Motion Volumes by Tracking
We present an automatic and efficient method to extract spatio-temporal human volumes from video, which combines top-down model-based and bottom-up appearancebased approaches. Fr...
Juan Carlos Niebles, Bohyung Han, Li Fei-Fei