Please use this identifier to cite or link to this item:
Title: Real-Time Recognition of Moving Direction of a Target Object Based on Historical Trajectories
Authors: 國立臺灣師範大學電機工程學系
Chen-Chien Hsu
Wei-Chen Liu
Chin-Ming Hong
Issue Date: 10-Jun-2011
Abstract: This paper presents an effective algorithm to identify moving direction of an object in images based on historical trajectories of the moving object. By continuously acquiring images, temporal differencing is performed to detect the moving object followed by median filtering to reduce noises in the images. After that, opening operation is adopted to remove small objects lacking momentum in the binary image and strengthen the surrounding thickness of those with sufficient momentum. Historical trajectories can therefore be constructed by decreasing the momentum of the binary images as time elapsed based on established rules to decide the moving direction of objects.
Other Identifiers: ntnulib_tp_E0607_02_036
Appears in Collections:教師著作

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.