An Adaptive Feature-fusion Method for Object Matching over Non-overlapped Scenes

Author:

Liu Huanxi,Lv Xiaowei,Zhu Tianhong,Li Xiong

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Modeling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering

Reference19 articles.

1. Guo, Y., Hsu, S., Sawhney, H., Kumar, R., & Shan, Y. (2007). “Robust object matching for persistent tracking with heterogeneous features”. IEEE Transactions Pattern Analysis Machine Intelligence, 29(5), 824–839.

2. Patwardhan, K., Sapiro, G., & Morellas, V. (2007). “A graph-based foreground representation and its application in example based people matching in video,” In Proc. IEEE International Conference on Image Processing, pp. 37–40.

3. Madden, C., & Piccardi, M. (2007). “A framework for track matching across disjoint cameras using robust shape and appearance features,” In Proc. IEEE International Conference on advanced Video and Signal Based Surveillance, pp. 188–193.

4. Lv, X., Kong, Q., Weng, F., & Liu, Y. (2009). “Analysis of appearance features for human matching between different fields of view,” ICME, pp. 670–673.

5. Lv, X., Kong, Q., & Liu, Y. (2008). “A feature fusion algorithm for hu- man matching between non-overlapping cameras (in chinese),” Chinese Conference on Pattern Recognition, pp. 73–78.

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