Publication:
Automatic Urban Road Users’ Tracking System

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dc.contributor.authorMa’moun Al-Smadien_US
dc.contributor.authorKhairi Abdulrahimen_US
dc.contributor.authorKamaruzzaman Semanen_US
dc.contributor.authorRosalina Abdul Salamen_US
dc.date.accessioned2024-05-27T14:38:18Z
dc.date.available2024-05-27T14:38:18Z
dc.date.issued2021
dc.date.submitted2022-1-28
dc.descriptionVolume: 13 No: 1 (page:159-167)en_US
dc.description.abstractThis paper presents a Dynamic Gradient Pattern (DGP) based on Kalman filtering technique for urban road users tracking. DGP technique is proposed to enhance rigid object descriptive ability for improved verification. DGP descriptor along with weighted centroid was integrated with a Kalman filtering framework to enhance data association robustness and tracking accuracy. To handle multiple objects tracking, a DGP verification approach is addressed based on normalized Bhattacharyya distance. The proposed technique achieves a closer trajectory for rigid body movement. The DGP descriptor can discriminate the objects correctly, and it overcomes the partial occlusion and misdetection by verifying object location using the normalized Bhattacharyya distance between DGP features. Experimental evaluation is performed on urban videos that include a slow-motion temporary stop and partial occlusion. The experimental results demonstrate that the detecting and tracking accuracy are above 98.08% and 97.70% respectively.en_US
dc.identifier.citationAl-Smadi, M., Abdulrahim, K., Seman, K. ., & Abdul Salam, R. . (2021). Automatic Urban Road Users’ Tracking System. International Journal of Integrated Engineering, 13(1), 159–167. Retrieved from https://penerbit.uthm.edu.my/ojs/index.php/ijie/article/view/6447en_US
dc.identifier.epage167
dc.identifier.issn2229-838X
dc.identifier.issue1
dc.identifier.spage159
dc.identifier.urihttps://penerbit.uthm.edu.my/ojs/index.php/ijie/article/view/6447/4078
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/3507
dc.identifier.volume13
dc.language.isoen_USen_US
dc.publisherPenerbit UTHMen_US
dc.relation.ispartofInternational Journal Of Integrated Engineeringen_US
dc.subjectMotion detection, dynamic gradient pattern, object tracking, kalman filteringen_US
dc.titleAutomatic Urban Road Users’ Tracking Systemen_US
dc.typeArticleen_US
dspace.entity.typePublication

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