Object Retrieval Scheme Using Color Features in Surveillance System
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-40861-8_15
Reference10 articles.
1. Patel, B.V., Meshram, B.B.: Content based video retrieval systems. International Journal of UbiComp 3(2), 13–30 (2012)
2. Cristani, M., Farenzena, M., Bloisi, D., Murino, V.: Background Subtraction for Automated Multisensor Surveillance: a Comprehensive Review. EURASIP Journal on Advances in Signal Processing, Article No. 43 (February 2010)
3. Hsia, K.H., Lien, S.F., Su, J.P.: Moving Target Tracking Based on CamShift Approach and Kalman Filter. International Journal of Applied Mathematics & Information Sciences 7(1), 193–200 (2013)
4. Hwang, T., Cho, S., Park, J., Choi, K.: Object Tracking for a Video Sequence from a Moving Vehicle: A Multi-modal Approach. ETRI Journal 28(3), 367–370 (2006)
5. Montcalm, T., Boufama, B.: Object Inter-camera Tracking with Non-overlapping Views: A New Dynamic Approach. In: Proceedings of the 2010 Canadian Conference on Computer and Robot Vision, pp. 354–361 (June 2010)
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