Digital Signal Processing Reference
In-Depth Information
Acknowledgement.
This work is supported by National Natural Science Fund
(61073189). The authors are grateful for the anonymous reviewers who made con-
structive comments.
References
[1]
Ren, J., Zhao, L.: Innovation in China's Mobile Multimedia Broadcasting Service. In:
Service Science: Research and Innovations in the Service Economy, Part 1, pp. 33-35
(2012)
[2]
Prati, A., Mikic, I., Trivedi, M., Cucchiara, R.: Detecting moving shadows: algorithms
and evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence 7, 918-
923 (2003)
[3]
Wang, J.M., Chung, Y.C., Chang, C.L., Chen, S.W.: Shadow detection and removal for
traffic images. In: Proc. IEEE Int. Conf. Networking, Sensing and Control, vol. 1(1), pp.
649-654 (2004)
[4]
Bevilacqua, A.: A Novel Shadow Detection Algorithm for Real Time Visual Surveillance
Applications. Image Analysis and Recognition, 906-917 (2006)
[5]
Kimmel, R., Elad, M., Shaked, D., Keshet, R.: A variational framework for Retinex. In-
ternational Journal of Computer Vision 52, 7-23 (2003)
[6]
Nielsen, M., Madsen, C.B.: Segmentation of Soft Shadows Based on a Daylight- and Pe-
numbra Model. In: Gagalowicz, A., Philips, W. (eds.) MIRAGE 2007. LNCS, vol. 4418,
pp. 341-352. Springer, Heidelberg (2007)
[7]
Leone, A., Distante, C.: Shadow detection for moving objects based on texture analysis.
Pattern Recogn. 40, 1222-1233 (2007)
[8]
Prati, A., Mikic, I., Trivedi, M.M., Cucchiara, R.A.C.R.: Detecting moving shadows: al-
gorithms and evaluation. IEEE Transactions on Pattern Analysis and Machine Intelli-
gence 25, 918-923 (2003)
[9]
Bozhokin, S.V.: Continuous wavelet transform and exactly solvable model of nonstatio-
nary signals. Technical Physics 57(7), 900-906 (2012)
[10]
Wang, S., Jiangliang, L.: Geometrical Learning, descriptive geometry, and biometric pat-
tern recognition. Neuron Computing 67, 9-28 (2005)
