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A Novel Vehicle Tracking Method with Occlusion Handling Using Longest Common Substring of Chain-Codes

Authors
  • Elham Shabani Nia
  • Shohreh Kasaei
Conference چهاردهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران
Abstract 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
قیمت
  • برای اعضای سایت : 100,000 Rial
  • برای دانشجویان عضو انجمن : 20,000 Rial
  • برای اعضای عادی انجمن : 40,000 Rial

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