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» A Framework for Representing Moving Objects
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ACCV
2010
Springer
14 years 4 months ago
A Phase Discrepancy Analysis of Object Motion
Abstract. Detecting moving objects against dynamic backgrounds remains a challenge in computer vision and robotics. This paper presents a surprisingly simple algorithm to detect ob...
Bolei Zhou, Xiaodi Hou, Liqing Zhang
ICASSP
2011
IEEE
14 years 1 months ago
Unsupervised extraction of audio-visual objects
We propose a novel method to automatically detect and extract the video modality of the sound sources that are present in a scene. For this purpose, we first assess the synchrony...
Anna Llagostera Casanovas, Pierre Vandergheynst
CVPR
2012
IEEE
12 years 11 months ago
A Unified Framework for Event Summarization and Rare Event Detection
A novel approach for event summarization and rare event detection is proposed. Unlike conventional methods that deal with event summarization and rare event detection independently...
Junseok Kwon and Kyoung Mu Lee
ECCV
2006
Springer
15 years 1 months ago
Learning Semantic Scene Models by Trajectory Analysis
Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...
Xiaogang Wang, Kinh Tieu, Eric Grimson
JSI
1998
125views more  JSI 1998»
14 years 9 months ago
The Algebraic Framework for Object-Oriented Systems
Abstract. Category Theory is introduced as the mathematical model for object-oriented systems which are distributed, heterogeneous, real-time, embedded, and open-ended. Each object...
D. H. H. Yoon