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» A Topic-Motion Model for Unsupervised Video Object Discovery
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CVPR
2009
IEEE
15 years 3 months ago
Learning color and locality cues for moving object detection and segmentation
This paper presents an algorithm for automatically detecting and segmenting a moving object from a monocular video. Detecting and segmenting a moving object from a video with limit...
Feng Liu (University of Wisconsin-Madison), Michae...
ECCV
2008
Springer
14 years 10 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
MM
2005
ACM
164views Multimedia» more  MM 2005»
14 years 2 months ago
Automatic discovery of query-class-dependent models for multimodal search
We develop a framework for the automatic discovery of query classes for query-class-dependent search models in multimodal retrieval. The framework automatically discovers useful q...
Lyndon S. Kennedy, Apostol Natsev, Shih-Fu Chang
COGSCI
2002
99views more  COGSCI 2002»
13 years 8 months ago
Learning words from sights and sounds: a computational model
This paper presents an implemented computational model of word acquisition which learns directly from raw multimodal sensory input. Set in an information theoretic framework, the ...
Deb Roy, Alex Pentland
ICCV
2007
IEEE
14 years 10 months ago
Trajectory Rectification and Path Modeling for Video Surveillance
Path modeling for video surveillance is an active area of research. We address the issue of Euclidean path modeling in a single camera for activity monitoring in a multicamera vid...
Imran N. Junejo, Hassan Foroosh