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» Detection of Changes in Surveillance Videos
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ECCV
2000
Springer
14 years 11 months ago
Non-parametric Model for Background Subtraction
Abstract. Background subtraction is a method typically used to segment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the sc...
Ahmed M. Elgammal, David Harwood, Larry S. Davis
ICASSP
2008
IEEE
14 years 4 months ago
Robust video fingerprinting based on affine covariant regions
This paper proposes a robust video fingerprinting method based on affine covariant regions. In video fingerprinting, a video clip is identified using short feature vectors ref...
Sunil Lee, Chang Dong Yoo
TIP
2008
165views more  TIP 2008»
13 years 9 months ago
Activity Modeling Using Event Probability Sequences
Changes in motion properties of trajectories provide useful cues for modeling and recognizing human activities. We associate an event with significant changes that are localized in...
Naresh P. Cuntoor, B. Yegnanarayana, Rama Chellapp...
ICPR
2008
IEEE
14 years 4 months ago
Bayesian sequential face detection with automatic re-initialization
This paper proposes a probabilistic search algorithm to boost the computational efficiency of face detection in video sequences. The algorithm sequentially predicts the probabili...
Atsushi Matsui, Simon Clippingdale, Takashi Matsum...
ICIP
2006
IEEE
14 years 11 months ago
Content Extraction and Summarization of Instructional Videos
This paper presents a robust approach to extracting and summarizing the textual content of instructional videos for handwritten recognition, indexing and retrieval, and other elea...
Tiecheng Liu, Chekuri Choudary