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Saliency based visual tracking of vehicle

Publication Type : Journal Article

Publisher : International Journal of Recent Trends in Engineering

Source : International Journal of Recent Trends in Engineering, Volume 2, Issue 2, p.114 (2009)

Url : https://www.semanticscholar.org/paper/Saliency-based-visual-tracking-of-vehicle-Amudha/393350ca12993711807ef22318aed2a03bbfdbd9?p2df

Campus : Bengaluru, Coimbatore

School : Department of Computer Science and Engineering, School of Engineering

Center : Computational Engineering and Networking

Department : Computer Science, Electronics and Communication

Year : 2009

Abstract : In this paper, a cognitive approach for car tracking is proposed. A biologically motivated attention system detects regions of interest in images based on concepts of the human visual system. A top-down guided visual search module of the system enables to highlight features of a previously learned target object. Here, the attention system identifies the appearance of the vehicle and builds a top-down, target-related saliency map. This enables to focus on the most relevant features of the vehicle and helps in tracking in the subsequent frames. The system operates in real-time and can cope with the requirements of real-world tasks such as illumination variations.

Cite this Research Publication : J. Amudha and Dr. Soman K. P., “Saliency based visual tracking of vehicle”, International Journal of Recent Trends in Engineering, vol. 2, no. 2, p. 114, 2009.

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