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» Unsupervised Learning of Object Features from Video Sequence...
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155
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PAMI
2011
14 years 5 months ago
Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin
—We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden condi...
Yang Wang 0003, Greg Mori
116
Voted
AVSS
2005
IEEE
15 years 8 months ago
Object tracking and matting for a class of dynamic image-based representations
Image-based rendering (IBR) is an emerging technology for photo-realistic rendering of scenes from a collection of densely sampled images and videos. Recently, an object-based app...
Zhi-Feng Gan, Shing-Chow Chan, Heung-Yeung Shum
144
Voted
ICIP
2007
IEEE
16 years 4 months ago
A HMM-Based Method for Recognizing Dynamic Video Contents from Trajectories
This paper describes an original method for classifying object motion trajectories in video sequences in order to recognize dynamic events. Similarities between trajectories are e...
Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre L...
VR
2010
IEEE
151views Virtual Reality» more  VR 2010»
15 years 28 days ago
Virtually augmenting hundreds of real pictures: An approach based on learning, retrieval, and tracking
Tracking is a major issue of virtual and augmented reality applications. Single object tracking on monocular video streams is fairly well understood. However, when it comes to mul...
Julien Pilet, Hideo Saito
140
Voted
ISCAS
2005
IEEE
134views Hardware» more  ISCAS 2005»
15 years 8 months ago
Video shot segmentation using fusion of SVD and mutual information features
— A new method for detecting shot boundaries in video sequences by fusing features obtained by singular value decomposition (SVD) and mutual information (MI) is proposed. The fi...
Zuzana Cernekova, Constantine Kotropoulos, Nikolao...