A Novel Vehicle Tracking Method with Occlusion Handling Using Longest Common Substring of Chain-Codes
Publish place: 14th annual International CSI Computer Conference
Publish Year: 1388
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
CSICC14_092
تاریخ نمایه سازی: 24 خرداد 1388
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
Authors
Elham Shabani Nia
Computer Engineering Department, Sharif University of Technology, Tehran, Iran
Shohreh Kasaei
Computer Engineering Department, Sharif University of Technology, Tehran, Iran