Occluded Pedestrian Tracking using Collaboration of Kalman Filter and Particle Filter

碩士 === 國立臺北大學 === 通訊工程研究所 === 98 === Object tracking is a one of the key feature in intelligent video surveillance. It is a challenging task in tracking algorithm due to the frequent occlusion encountered between moving objects. We propose a novel method to address the problem of tracking and evalu...

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Bibliographic Details
Main Authors: Yen-Hsiang Chang, 張雁翔
Other Authors: Daw-Tung Lin
Format: Others
Language:en_US
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/79092032066548672333