Abstract
Moving cast shadows on object distort figures which causes serious detection deficiency and analysis problems in ITS related applications. Thus, shadow removal plays an important role for robust object extraction from surveillance videos. In this paper, we propose an algorithm to eliminate moving cast shadow that uses features of color information about foreground and background figures. The significant information among the features of shadow, background and object is extracted by PCA transformation and tilting coordinates system. By appropriate analyses of the information, we found distributive characteristics of colors from the tilted PCA space. With this new color space, we can detect moving cast shadow and remove them effectively.
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References
Cucchiara, R., Grana, C., Piccardi, M., Prati, A.: Detecting objects, shadows and ghosts in video streams by exploiting color and motion information. In: Proceedings of the IEEE Int′l Conference on Image Analysis and Processing, pp. 360–365 (2001)
Cucchiara, R., Grana, C., Prati, A., Piccardi, M.: Effective detection of moving objects, shadows and ghosts in surveillance videos, Australia-Japan Advanced Workshop on Computer Vision (2003)
Haritaoglu, I., Harwood, D., Davis, L.S.: W4: real-time surveillance of people and their activities. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(8), 809–830 (2000)
Horprasert, T., Harwood, D., Davis, L.S.: A statistical approach for real-time robust background subtraction and shadow detection. In: Proceedings of IEEE ICCV 1999 FRAME-RATE Workshop (1999)
Jolliffe, I.T.: Principal component analysis. Springer, New York (1996)
Mikic, I., Cosman, P., Kogut, G., Trivedi, M.M.: Moving shadow and object detection in traffic scenes. In: Proceedings of Int′l Conference on Pattern Recognition, pp. 321–324 (2000)
Nadimi, S., Bhanu, B.: Physical models for moving shadow and object detection in video, Pattern Analysis and Machine Intelligence. IEEE Transactions 26(8), 1079–1087 (2004)
Prati, A., Cucchiara, R., Mikic, I., Trivedi, M.M.: Analysis and Detection of Shadows in Video Streams: A Comparative Evaluation. In: Proc. of Third Workshop on Empirical Evaluation Methods in Computer Vision - IEEE Int′l Conference on Computer Vision and Pattern Recognition, pp. 571–576 (2001)
Strauder, J., Mech, R., Ostermann, J.: Detection of moving cast shadow for object Segmentation. IEEE Transaction on Multimedia 1(1), 65–76 (1999)
Wang, J.M., Chung, Y.C., Chang, C.L, Chen, S.W.: Shadow Detection and Removal for Traffic Image. In: Proceedings of the IEEE Int′l Conference on Networking, Sensing & Control, pp. 649–654 (2004)
Yoneyama, A., Yeh, C.H., Kuo, C.-C.J.: Moving cast shadow elimination for robust vehicle extraction based on 2D joint vehicle/shadow models. In: Proceedings. IEEE Conference on Advanced Video and Signal Based Surveillance, pp. 229–236 (2003)
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© 2007 Springer-Verlag Berlin Heidelberg
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Shin, W., Um, J., Song, D.H., Lee, C. (2007). Moving Cast Shadow Elimination Algorithm Using Principal Component Analysis in Vehicle Surveillance Video. In: Szczuka, M.S., et al. Advances in Hybrid Information Technology. ICHIT 2006. Lecture Notes in Computer Science(), vol 4413. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77368-9_14
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DOI: https://doi.org/10.1007/978-3-540-77368-9_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77367-2
Online ISBN: 978-3-540-77368-9
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