A hybrid occlusion free object tracking method using particle filter and modified galaxy based search meta-heuristic algorithm |
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| Affiliation: | 1. Dept. of Electronics and Communication Engineering, RCC Institute of Information Technology, Kolkata 700015, India;2. Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata 700 108, India;3. Dept. of Electronics and Telecommunication Engineering, Jadavpur University, Kolkata 700032, India;1. Dep. de Computação e Construção Civil – Centro Federal de Educação Tecnológica de Minas Gerais, R. Dezenove de Novembro, 121, Centro, Timóteo, MG, Brazil;2. Programa de Pós-Graduação em Engenharia Elétrica – Universidade Federal de Minas Gerais, Av. Antônio Carlos 6627, 31270-901 Belo Horizonte, MG, Brazil;3. Dep. de Física e Matemática – Centro Federal de Educação Tecnológica de Minas Gerais, Av. Amazonas, 7675, Nova Gameleira, Belo Horizonte, MG, Brazil;4. Dep. de Matemática – Universidade Federal de Minas Gerais, Av. Pres. Antônio Carlos, 6627, Pampulha, Belo Horizonte, MG, Brazil;1. Sobolev Institute of Mathematics, Novosibirsk 630090, Russia;2. Novosibirsk State University, Novosibirsk 630090, Russia;3. Ammosov North-Eastern Federal University, Yakutsk, 677000, Russia |
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| Abstract: | An important problem in tracking methods is how to manage the changes in object appearance, such as illumination changes, partial/full occlusion, scale, and pose variation during the tracking process. In this paper, we propose an occlusion free object tracking method together with a simple adaptive appearance model. The proposed appearance model which is updated at the end of each time step includes three components: the first component consists of a fixed template of target object, the second component shows rapid changes in object appearance, and the third one maintains slow changes generated along the object path. The proposed tracking method not only can detect occlusion and handle it, but also it is robust against changes in the object appearance model. It is based on particle filter which is a robust technique in tracking and handles non-linear and non-Gaussian problems. We have also employed a meta-heuristic approach that is called Modified Galaxy based Search Algorithm (MGbSA), to reinforce finding the optimum state in the particle filter state space. The proposed method was applied to some benchmark videos and its results were satisfactory and better than results of related works. |
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| Keywords: | Object tracking Particle filter Galaxy based search algorithm Appearance model Occlusion |
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