Dynamic Building Tracking from UAVs Based on Image Manifold Learning

Peng Zhang; Yuan Yuan  Ren

doi:10.4028/www.scientific.net/AMR.756-759.4121

Paper Titles

The Research of Label Identification Method Based on Fuzzy Theory
p.4100

Pedestrian Tracking Based on Improved Particle Filter under Complex Background
p.4103

Microscopic Image Segmentation of Chinese Herbal Medicine Based on Region Growing Algorithm
p.4110

Dynamic Building Tracking from UAVs Based on Image Manifold Learning
p.4121

Image Denoising Method Based on ^v-Support Vector Regression and Noise Detection
p.4126

Recognition of Topology Feature of Graphene by Image Processing Technique
p.4133

Real-Time 3D Hand Gesture Detection from Depth Images
p.4138

The Passive Location of Emitter Based on Fuzzy Method
p.4143

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759Dynamic Building Tracking from UAVs Based on Image...

Dynamic Building Tracking from UAVs Based on Image Manifold Learning

Abstract:

Fast and accurate visual tracking of ground buildings can provide unmanned aerial vehicles (UAVs) with rich perceptual information, which is very important for target recognition, navigation and system control. However, when an UAV moves fast, both background and buildings in visual scenes change relatively and rapidly. Consequently, there are no constant features for objects' appearance, which poses great challenges for visual tracking of buildings. In this paper, we first build an image manifold of buildings, which can encode the continuous variation of appearance. We then propose an efficient approach to learn this manifold and obtain more robust feature extraction results. By using a simple tracking framework, we successfully apply the extracted low-dimensional features to real-time building tracking. Experimental results demonstrate the effectiveness of the proposed method.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

4121-4125

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.4121

Citation:

Cite this paper

Online since:

September 2013

Authors:

Peng Zhang, Yuan Yuan Ren

Keywords:

Dynamic Visual Tracking, Manifold Learning, Unmanned Aerial Vehicle (UAV)

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] H. Qiao, P. Zhang, B. Zhang, and S. Zheng, Learning an intrinsic variable preserving manifold for dynamic visual tracking, IEEE Trans. Systems, Man, and Cybernetics - Part B: Cybernetics, vol. 40, no. 2, pp.868-880, (2000).

DOI: 10.1109/tsmcb.2009.2031559

Google Scholar

[2] H. Qiao, P. Zhang, B. Zhang, and S. Zheng, Tracking feature extraction based on manifold learning framework, Journal of Experimental & Theoretical Artificial Intelligence, vol. 23, no. 1, pp.23-38, (2011).

DOI: 10.1080/0952813x.2010.506286

Google Scholar

[3] S. Roweis, and L. Saul, Nonlinear dimensionality reduction by locally linear embedding, Science, vol. 290, no. 5500, pp.2323-2326, (2000).

DOI: 10.1126/science.290.5500.2323

Google Scholar

[4] M. Belkin, and P. Niyogi, Laplacian eigenmaps for dimensionality reduction and data representation, Neural Computation, vol. 15, no. 6, pp.1373-1396, (2003).

DOI: 10.1162/089976603321780317

Google Scholar

[5] X. He, S. Yan, Y. Hu, P. Niyogi, and H. Zhang, Face recognition using Laplacianfaces, IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 27, no. 3, pp.328-340, (2005).

DOI: 10.1109/tpami.2005.55

Google Scholar