A Neighborhood-Based Competitive Network for Video Segmentation and Object Detection (original) (raw)

References

1. Cucchiara, R., Grana, C., Piccardi, M., Prati, A.: Detecting moving objects, ghosts, and shadows in video streams. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(10), 1337–1342 (2003)
   Article Google Scholar
2. Koller, D., Weber, J., Huang, T., Malik, J., Ogasawara, G., Rao, B., Russell, S.: Towards robust automatic traffic scene analysis in real-time. In: Proceedings of the International Conference on Pattern Recognition (1994)
   Google Scholar
3. Lo, B., Velastin, S.: Automatic congestion detection system for underground platforms. In: Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, 2001, pp. 158–161 (2001)
   Google Scholar
4. Toyama, K., Krumm, J., Brumitt, B., Meyers, B.: Wallflower: Principles and practice of background maintenance. In: Proceedings of the 1999, 7th IEEE International Conference on Computer Vision (ICCV 1999), pp. 255–261 (1999)
   Google Scholar
5. Haritaoglu, I., Harwood, D., Davis, L.: W4: real-time surveillance of people and their activities. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(8), 809–830 (2000)
   Article Google Scholar
6. McKenna, S., Jabri, S., Duric, Z., Rosenfeld, A., Wechsler, H.: Tracking groups of people. Computer Vision and Image Understanding: CVIU 80(1), 42–56 (2000)
   Article MATH Google Scholar
7. Wren, C., Azarbayejani, A., Darrell, T., Pentl, A.: Pfinder: Real-time tracking of the human body. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(7), 780–785 (1997)
   Article Google Scholar
8. Stauffer, C., Grimson, W.: Adaptive background mixture models for real-time tracking. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1999)
   Google Scholar
9. Zabavin, N., Kuznetsova, M., Luk’yanitsa, A., Torshin, A., Fedchenko, V.: Recognition of handwritten characters by means of artificial neural networks. Journal of Computer and Systems Sciences International 38(5), 831–834 (1999)
   Google Scholar
10. Hall, L., Bensaid, A., Clarke, L., Velthuizen, R., Silbiger, M., Bezdek, J.: A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain. IEEE Transactions on Neural Networks 3(5), 672–682 (1992)
    Article Google Scholar
11. Pham, D., Xu, C., Prince, J.: Current methods in medical image segmentation. Annual Review of Biomedical Engineering 2, 315 ± (2000)
    Article Google Scholar
12. Mérida-Casermeiro, E., López-Rodríguez, D., Galán-Marín, G., Ortiz-de Lazcano-Lobato, J.M.: Improved production of competitive learning rules with an additional term for vector quantization. In: Beliczynski, B., Dzielinski, A., Iwanowski, M., Ribeiro, B. (eds.) ICANNGA 2007. LNCS, vol. 4431, pp. 461–469. Springer, Heidelberg (2007)
    Chapter Google Scholar
13. Stauffer, C., Grimson, W.: Learning patterns of activity using real-time tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(8), 747–757 (2000)
    Article Google Scholar
14. Cucchiara, R., Grana, C., Piccardi, M., Prati, A., Sirotti, S.: Improving shadow suppression in moving object detection with hsv color information. In: IEEE Intelligent Transportation Systems Conference Proceedings, pp. 334–339 (2001)
    Google Scholar
15. Mikic, I., Cosman, P., Kogut, G., Trivedi, M.: Moving shadow and object detection in traffic scenes. In: International Conference on Pattern Recognition, ICPR. IEEE Computer Society, Los Alamitos (2000)
    Google Scholar
16. Martel-Brisson, N., Zaccarin, A.: Learning and removing cast shadows through a multidistribution approach. IEEE Transactions on Pattern Analysis and Machine Intelligence 29(7), 1133–1146 (2007)
    Article Google Scholar
17. Prati, A., Cucchiara, R., Mikic, I., Trivedi, M.: Analysis and detection of shadows in video streams: a comparative evaluation. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR, pp. 571–576 (2001)
    Google Scholar
18. Horprasert, T., Harwood, D., Davis, L.S.: A statistical approach for real-time robust background subtraction and shadow detection. In: Proceedings of IEEE International Conference on Computer Vision (1999)
    Google Scholar

Download references