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» Detection and Tracking of Facial Features in Video Sequences
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ICRA
2009
IEEE
165views Robotics» more  ICRA 2009»
15 years 4 months ago
A visual odometry framework robust to motion blur
— Motion blur is a severe problem in images grabbed by legged robots and, in particular, by small humanoid robots. Standard feature extraction and tracking approaches typically f...
Alberto Pretto, Emanuele Menegatti, Maren Bennewit...
MMM
2006
Springer
154views Multimedia» more  MMM 2006»
15 years 3 months ago
A robust object shape prediction algorithm in the presence of white Gaussian noise
This paper presents a shape prediction algorithm in a noisy video sequence based on pixel representation in the undecimated wavelet domain. In our algorithm for tracking of user-d...
Mohammad Khansari, Hamid R. Rabiee, M. Asadi, M. G...
TASLP
2010
135views more  TASLP 2010»
14 years 4 months ago
Audio-Based Semantic Concept Classification for Consumer Video
Abstract--This paper presents a novel method for automatically classifying consumer video clips based on their soundtracks. We use a set of 25 overlapping semantic classes, chosen ...
Keansub Lee, Daniel P. W. Ellis
78
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ICIP
2005
IEEE
15 years 3 months ago
Classification and representation of semantic content in broadcast tennis videos
This paper investigates the semantic analysis of broadcast tennis footage. We consider the spatio-temporal behaviour of an object in the footage as being the embodiment of a seman...
Niall Rea, Rozenn Dahyot, Anil C. Kokaram
ACCV
2009
Springer
14 years 7 months ago
Human Action Recognition under Log-Euclidean Riemannian Metric
This paper presents a new action recognition approach based on local spatio-temporal features. The main contributions of our approach are twofold. First, a new local spatio-tempora...
Chunfeng Yuan, Weiming Hu, Xi Li, Stephen J. Mayba...