انجمن کامپیوتر ایران

Vehicle tracking is an essential requirement of any vision based Intelligent Transportation System for extracting different traffic parameters, efficiently. Handling inter-object occlusion is the most challenging part of tracking as a process of finding and following interested objects in a sequence of video frames. In this paper we present a system, based on code-book background model for motion segmentation and Kalman filter for tracking with a new approach for occlusion. This approach separates occluded vehicles based on longest common substring of chain codes. We use this tracking system to estimate some traffic parameters. Experimental results show the efficiency of the method

The existing workflow modeling languages have some limitations and drawbacks. The aim is to introduce a new workflow modeling language based on stochastic activity networks (SANs). SANs are a powerful extension of Petri nets, which have been used in a wide range of applications. SAN-based workflow modeling language (SWML) has some high-level modeling primitives for easily modeling workflow patterns. For analysis of the modeled workflow systems with SWML, we have introduced the transformation techniques from SWML models into ordinary SANs. The transformed models can be analyzed using the existing tools for SANs, such as the Möbius modeling tool. In this paper, we present definitions of SWML modeling language and its primitives and an example of SWML models.