Andrew G. Backhouse

According to our database, Andrew G. Backhouse authored at least 14 papers between 2003 and 2011.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2011

A Robust Particle Filter-Based Method for Tracking Single Visual Object Through Complex Scenes Using Dynamical Object Shape and Appearance Similarity.

Zulfiqar Hassan Khan, Irene Yu-Hua Gu, Andrew G. Backhouse

J. Signal Process. Syst., 2011

Robust Visual Object Tracking Using Multi-Mode Anisotropic Mean Shift and Particle Filters.

Zulfiqar Hassan Khan, Irene Yu-Hua Gu, Andrew G. Backhouse

IEEE Trans. Circuits Syst. Video Technol., 2011

2009

Robust Object Tracking Using Particle Filters and Multi-region Mean Shift.

Andrew G. Backhouse, Zulfiqar Hassan Khan, Irene Yu-Hua Gu

Proceedings of the Advances in Multimedia Information Processing, 2009

Joint anisotropic mean shift and consensus point feature correspondences for object tracking in video.

Zulfiqar Hassan Khan, Irene Y. H. Gu, Tiesheng Wang, Andrew G. Backhouse

Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009

Joint particle filters and multi-mode anisotropic mean shift for robust tracking of video objects with partitioned areas.

Zulfiqar Hassan Khan, Irene Y. H. Gu, Andrew G. Backhouse

Proceedings of the International Conference on Image Processing, 2009

2008

Face tracking using Rao-Blackwellized particle filter and pose-dependent probabilistic PCA.

Tiesheng Wang, Irene Y. H. Gu, Andrew G. Backhouse, Pengfei Shi

Proceedings of the International Conference on Image Processing, 2008

Online subspace learning on Grassmann manifold for moving object tracking in video.

Tiesheng Wang, Andrew G. Backhouse, Irene Y. H. Gu

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Moving Object Tracking from Videos Based on Enhanced Space-Time-Range Mean Shift and Motion Consistency.

Tiesheng Wang, Irene Y. H. Gu, Andrew G. Backhouse, Pengfei Shi

Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

ML Nonlinear Smoothing for Image Segmentation and its Relationship to the Mean Shift.

Andy Backhouse, Irene Y. H. Gu, Tiesheng Wang

Proceedings of the International Conference on Image Processing, 2007

2006

Bayesian traffic dynamics and packet loss prediction for video over IP networks.

Andrew G. Backhouse, Irene Y. H. Gu

Multim. Syst., 2006

2005

Network-Adaptive Frame-Expansion-Based Packet Video Coding for Erasure Channels.

Andrew G. Backhouse, Irene Y. H. Gu

Proceedings of the 2005 IEEE International Conference on Multimedia and Expo, 2005

Error-resilient packet video coding using harmonic frame-expansions and temporal prediction.

Andrew G. Backhouse, Irene Y. H. Gu

Proceedings of the 2005 International Conference on Image Processing, 2005

2004

A Bayesian framework-based end-to-end packet loss prediction in IP networks.

Andy Backhouse, Irene Y. H. Gu

Proceedings of the Sixth IEEE International Symposium on Multimedia Software Engineering, 2004

2003

Global optimization of video quality by improved rate control on IP-networks.

Andrew G. Backhouse, Irene Y. H. Gu, Sverrir Olafsson, Mike J. Smith

Proceedings of the Visual Communications and Image Processing 2003, 2003