Positive Semidefinite Metric Learning with Boosting (2009)
Shen, Chunhua, Kim, Junae, Wang, Lei, Hengel, Anton Van Den
The learning of appropriate distance metrics is a critical problem in image classification and retrieval. In this work, we propose a boosting-based technique, termed \BoostMetric, for learning a...
2D Articulated Tracking With Dynamic Bayesian Networks (2009)
Chunhua Shen, Anthony Dick, Michael J. Brooks
We present a novel method for tracking the motion of an articulated structure in a video sequence. The analysis of articulated motion is challenging because of the potentially large number of degrees...
Generalized Kernel-based Visual Tracking (2009)
Shen, Chunhua, Kim, Junae, Wang, Hanzi
In this work we generalize the plain MS trackers and attempt to overcome standard mean shift trackers' two limitations. It is well known that modeling and maintaining a representation of a target...
Boosting through Optimization of Margin Distributions (2009)
Boosting has attracted much research attention in the past decade. The success of boosting algorithms may be interpreted in terms of the margin theory. Recently it has been shown that generalization...
Efficiently Learning a Detection Cascade with Sparse Eigenvectors (2009)
Shen, Chunhua, Paisitkriangkrai, Sakrapee, Zhang, Jian
In this work, we first show that feature selection methods other than boosting can also be used for training an efficient object detector. In particular, we introduce Greedy Sparse Linear...
A Duality View of Boosting Algorithms (2009)
We study boosting algorithms from a new perspective. We show that the Lagrange dual problems of AdaBoost, LogitBoost and soft-margin LPBoost with generalized hinge loss are all entropy maximization...
Adaptive object tracking based on an effective appearance filter (2008)
Hanzi Wang, David Suter, Senior Member, Konrad Schindler, Chunhua Shen
We propose a similarity measure based on a Spatial-color Mixture of Gaussians (SMOG) appearance model for particle filters. This improves on the popular similarity measure based on color histograms...
A Convex Programming Approach to the Trace Quotient Problem (2008)
Chunhua Shen, Hongdong Li, Michael J. Brooks
Abstract. The trace quotient problem arises in many applications in pattern classification and computer vision, e.g., manifold learning, low-dimension embedding, etc. The task is to solve a...
Real-time Pedestrian Detection Using a Boosted Multi-layer Classifier (2008)
Paisitkriangkrai, Sakrapee, Shen, Chunhua, Zhang, Jian
Techniques for detecting pedestrian in still images have attracted considerable research interests due to its wide applications such as video surveillance and intelligent transportation systems. In...
Real-time Pedestrian Detection Using a Boosted Multi-layer Classifier (2008)
Paisitkriangkrai, Sakrapee, Shen, Chunhua, Zhang, Jian
Techniques for detecting pedestrian in still images have attracted considerable research interests due to its wide applications such as video surveillance and intelligent transportation systems. In...
Supervised dimensionality reduction via sequential semidefinite programming (2008)
Shen, Chunhua, Li, H., Brooks, Michael John
Chunhua Shen, Hongdong Li, Michael J. Brooks
Supervised dimensionality reduction via sequential semidefinite programming (2008)
Shen, Chunhua, Li, H., Brooks, Michael John
Chunhua Shen, Hongdong Li, Michael J. Brooks
Fast global kernel density mode seeking: Applications to localization and tracking (2007)
Shen, Chunhua, Brooks, Michael John
Copyright © 2007 IEEE
Fast global kernel density mode seeking: Applications to localization and tracking (2007)
Shen, Chunhua, Brooks, Michael John
Copyright © 2007 IEEE
Feature extraction using sequential semidefinite programming (2007)
Shen, Chunhua, Li, H., Brooks, Michael John
© Copyright 2008 IEEE – All Rights Reserved
Feature extraction using sequential semidefinite programming (2007)
Shen, Chunhua, Li, H., Brooks, Michael John
© Copyright 2008 IEEE – All Rights Reserved
Classification-based likelihood functions for Bayesian tracking (2006)
Shen, Chunhua, Li, Hongdong, Brooks, Michael John
Copyright © 2006 IEEE
Classification-based likelihood functions for Bayesian tracking (2006)
Shen, Chunhua, Li, Hongdong, Brooks, Michael John
Copyright © 2006 IEEE
Kexiong Zhang, Rui Gao, Haoxing Zhang, Xin Cai, Chunhua Shen, Chaoqun Wu, ...
Lysozymes, especially c-type lysozymes, are well-recognized bacteriolytic factors widely distributed in the animal kingdom and play a mainly protective role in host defense. The relatives of c-type...
Fast Global Kernel Density Mode Seeking with Application to Localisation and Tracking (2005)
Chunhua Shen, Michael J. Brooks
We address the problem of seeking the global mode of a density function using the mean shift algorithm. Mean shift, like other gradient ascent optimisation methods, is susceptible to local maxima,...
Fast Global Kernel Density Mode Seeking with Application to Localisation and Tracking (2005)
Chunhua Shen, Michael J. Brooks
We address the problem of seeking the global mode of a density function using the mean shift algorithm. Mean shift, like other gradient ascent optimisation methods, is susceptible to local maxima,...
Enhanced Importance Sampling: Unscented Auxiliary Particle Filtering for (2004)
Chunhua Shen, Michael J. Brooks
Abstract. The particle filter has attracted considerable attention in visual tracking due to its relaxation of the linear and Gaussian restrictions in the state space model. It is thus more flexible...
Probabilistic multiple cue integration for particle filter based tracking (2003)
Abstract. Robust visual tracking has become an important topic in the field of computer vision. The integration of cues such as color, edge strength and motion has proved to be a promising approach...
Probabilistic multiple cue integration for particle filter based tracking (2003)
Abstract. Robust visual tracking has become an important topic in the field of computer vision. The integration of cues such as color, edge strength and motion has proved to be a promising approach...