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» Incremental Discovery of Object Parts in Video Sequences
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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
VLSISP
1998
161views more  VLSISP 1998»
14 years 9 months ago
Automatic Recognition of Human Walking in Monocular Image Sequences
Abstract. In numerous content-based video applications, it is important to extract from a video sequence a representation for humans in motion. This task is di cult, because humans...
Jia-Ching Cheng, José M. F. Moura
ICIP
2001
IEEE
15 years 11 months ago
Region-based active contours for video object segmentation with camera compensation
In this paper, we present a new algorithm for the segmentation of moving objects in a video sequence acquired by a mobile camera using region-based active contours. Indeed, active...
Gilles Aubert, Michel Barlaud, Stéphanie Je...
ICIP
2009
IEEE
14 years 7 months ago
An incremental extremely random forest classifier for online learning and tracking
Decision trees have been widely used for online learning classification. Many approaches usually need large data stream to finish decision trees induction, as show notable limitat...
Aiping Wang, Guowei Wan, Zhiquan Cheng, Sikun Li
ICCV
2011
IEEE
13 years 10 months ago
Robust Object Pose Estimation via Statistical Manifold Modeling
We propose a novel statistical manifold modeling approach that is capable of classifying poses of object categories from video sequences by simultaneously minimizing the intra-cla...
Liang Mei, Jingen Liu, Alfred Hero, Silvio Savares...