Algorithms for Object Tracking Under Occlusion Using Multiple Cameras – A Survey

Authors

  • B. C. Bharath PG Student, Department of Information Science and Engineering, Dayananda Sagar College of Engineering, Bangalore, India
  • Latha Anuj Assistant Professor, Department of Information Science and Engineering, Dayananda Sagar College of Engineering, Bangalore, India

Keywords:

object detection, object tracking, occlusion, re-identification, multiple cameras

Abstract

Computer Vision based object tracking are gaining more demand in the field of video surveillance. However, tracking of multiple moving objects under occlusions is inefficient with single camera-based setups. Multiple item tracking under long-term or even complete occlusion is a time-consuming process with unreliable results. Multiple camera-based multiple objects tracking with object re-identification in multiple cameras can be incredibly effective when dealing with occlusion situations. This paper reviews multiple approaches for detection and tracking using multiple-camera based setups.

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Published

17-04-2022

Issue

Vol. 3 No. 4 (2022)

Section

Articles

License

Copyright (c) 2022 B. C. Bharath, Latha Anuj

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
B. C. Bharath and L. Anuj, “Algorithms for Object Tracking Under Occlusion Using Multiple Cameras – A Survey”, IJRAMT, vol. 3, no. 4, pp. 71–74, Apr. 2022, Accessed: Nov. 22, 2024. [Online]. Available: https://journals.ijramt.com/index.php/ijramt/article/view/1935