Object Tracking Using Adaptive Diffusion Flow Active Model

Authors

  • Israa A. Alwan College of Education for Pure Sciences Ibn Al-Haitham, University of Baghdad, Iraq
  • Faaza A. Almarsoomi College of Education for Pure Sciences Ibn Al-Haitham, University of Baghdad, Iraq

DOI:

https://doi.org/10.3991/ijoe.v17i10.26437

Keywords:

Object tracking, Active Models, Segmentation, ADF external force

Abstract


Object tracking is one of the most important topics in the fields of image processing and computer vision. Object tracking is the process of finding interesting moving objects and following them from frame to frame. In this research, Active models–based object tracking algorithm is introduced. Active models are curves placed in an image domain and can evolve to segment the object of interest. Adaptive Diffusion Flow Active Model (ADFAM) is one the most famous types of Active Models. It overcomes the drawbacks of all previous versions of the Active Models specially the leakage problem, noise sensitivity, and long narrow hols or concavities. The ADFAM is well known for its very good capabilities in the segmentation process. In this research, it is adopted for segmentation and tracking purposes. The proposed object tracking algorithm is initiated by detecting the target moving object manually. Then, the ADFAM convergence of the current video frame is reused as an initial estimation for the next video frame and so on. The proposed algorithm is applied to several video sequences, different in terms of the nature of the object, the nature of the background, the speed of the object, object motion direction, and the inter-frame displacement. Experimental results show that the proposed algorithm performed very well and successfully tracked the target object in all different cases.

Author Biographies

Israa A. Alwan, College of Education for Pure Sciences Ibn Al-Haitham, University of Baghdad, Iraq

Department of Computer Science

Faaza A. Almarsoomi, College of Education for Pure Sciences Ibn Al-Haitham, University of Baghdad, Iraq

Department of Computer Science

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Published

2021-10-19

How to Cite

A. Alwan, I., & A. Almarsoomi, F. (2021). Object Tracking Using Adaptive Diffusion Flow Active Model. International Journal of Online and Biomedical Engineering (iJOE), 17(10), pp. 17–33. https://doi.org/10.3991/ijoe.v17i10.26437

Issue

Section

Papers