We propose a real-time object segmentation method for MPEG encoded video. Computational superiority is the main advantage of compressed domain processing. We exploit the macro-block structure of the encoded video to decrease the spatial resolution of the processed data, which exponentially reduces the computational load. Further reduction is achieved by temporal grouping of the intra-coded and ...

Abnormal behavior detection, in terms of importance, has become a necessity real-time visual systems. The main problem is the ambiguity difference between characteristics abnormal and normal behavior, which its definition usually different according to previous context images. In this research, three approaches are used. first approach, standard Convolutional Automatic Encoder (CAE) After evalu...

Multiple description (MD) coding has evolved as a promising technique for promoting error resiliency of multimedia system in real-time application programs over error-prone communicational channels. Although multiple description lattice vector quantization (MDCLVQ) is an efficient method for transmitting reliable data in the context of potential error channels, this method doesn’t consider disc...

Bayesian filtering provides a principled approach for a variety of problems in machine perception and robotics. Current filtering methods work with analog hypothesis spaces and find approximate solutions to the resulting non-linear filtering problem using Monte-Carlo approximations (i.e., particle filters) or linear approximations (e.g., extended Kalman filter). Instead, in this paper we propos...