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IJCNN
2006
IEEE
16 years 16 days ago
In-Place Learning for Positional and Scale Invariance
— In-place learning is a biologically inspired concept, meaning that the computational network is responsible for its own learning. With in-place learning, there is no need for a...
Juyang Weng, Hong Lu, Tianyu Luwang, Xiangyang Xue
MMM
2006
Springer
154views Multimedia» more  MMM 2006»
16 years 16 days 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...
ICPR
2010
IEEE
16 years 4 days ago
Pairwise Features for Human Action Recognition
Existing action recognition approaches mainly rely on the discriminative power of individual local descriptors extracted from spatio-temporal interest points (STIP), while the geo...
Anh Phuong Ta, Christian Wolf, Guillaume Lavoue, A...
CRV
2005
IEEE
204views Robotics» more  CRV 2005»
16 years 4 days ago
3D SSD Tracking with Estimated 3D Planes
We present a tracking method where full camera position and orientation is tracked from intensity differences in a video sequence. The camera pose is calculated based on 3D plane...
Dana Cobzas, Peter F. Sturm
ICIP
2005
IEEE
16 years 3 days ago
HMM-based motion recognition system using segmented PCA
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Hidden Markov Models (HMM). We build our models on Principal Com...
Faisal I. Bashir, Wei Qu, Ashfaq A. Khokhar, Dan S...