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Object Detection and Tracking with Occlusion Handling in Maritime Surveillance-A Review

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Recent Trends in Image Processing and Pattern Recognition (RTIP2R 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1035))

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Abstract

Video surveillance is currently proactive research theme in computer vision. It can be classified as Normal, Aerial and Maritime video surveillance. The maritime surveillance will observe all the maritime activities effectively which strengthen the security, the environment, and the economy etc. Since, maritime transportation is very important to the national security because more than 80% of world trade depends on safe maritime route. It is very essential to be conscious of every time what is happening under and on the surface of sea and coastal area to its continued safety, prosperity and environment. So the employments of maritime surveillance poses the significant challenges. This effort is on the consolidation and thorough survey of state-of-the-art of maritime surveillance methods like detection and tracking of object with occlusion handling. Occlusion takes place when distant targets are hidden by objects closer to the observer which might be full or partial. Occlusion is still a major challenge due to the dynamic nature of the ocean which will further affect the effective tracking of the maritime object. The survey work carried out has revealed that very less amount of work has been reported on maritime detection and tracking of object with occlusion handling and finally, comparison have been tabulated on state-of-the-art of the detection of object and tracking with occlusion handling techniques.

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Sri Jayachmarajendra College of Engineering, Mysuru, India

    Rubeena Banu & M. H. Sidram

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  1. Rubeena Banu
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  2. M. H. Sidram
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Correspondence to Rubeena Banu .

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Editors and Affiliations

  1. Department of Computer Science, University of South Dakota, Vermillion, SD, USA

    K. C. Santosh

  2. Solapur University, Solapur, India

    Ravindra S. Hegadi

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Banu, R., Sidram, M.H. (2019). Object Detection and Tracking with Occlusion Handling in Maritime Surveillance-A Review. In: Santosh, K., Hegadi, R. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2018. Communications in Computer and Information Science, vol 1035. Springer, Singapore. https://doi.org/10.1007/978-981-13-9181-1_8

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  • DOI: https://doi.org/10.1007/978-981-13-9181-1_8

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  • Print ISBN: 978-981-13-9180-4

  • Online ISBN: 978-981-13-9181-1

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