Author:
Benedek Csaba,Szirányi Tamás
Publisher
Springer Berlin Heidelberg
Reference15 articles.
1. Benedek, C., Szirányi, T.: A Markov Random Field Model for Foreground-Background Separation. In: Joint Hungarian-Austrian Conference on Image Processing and Pattern Recognition (HACIPPR), Veszprém, Hungary, May 11-13 (2005)
2. Berthod, M., Kato, Z., Yu, S., Zerubia, J.: Bayesian image classification using Markov Random Fields. Image and Vision Computing 14, 285–295 (1996)
3. Cucchiara, R., Grana, C., Neri, G., Piccardi, M., Prati, A.: The Sakbot System for Moving Object Detection and Tracking. Video-Based Surveillance Systems- Computer Vision and Distributed Processing, 145–157 (2001)
4. Czúni, L., Szirányi, T.: Motion Segmentation and Tracking with Edge Relaxation and Optimization using Fully Parallel Methods in the Cellular Nonlinear Network Architecture. Real-Time Imaging 7(1), 77–95 (2001)
5. Geman, S., Geman, D.: Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 721–741 (1984)
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献