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Panoramic Surveillance Using a Stitched Image Sequence

Publication Type : Journal Article

Publisher : Communications in Computer and Information Science

Source : Communications in Computer and Information Science, Springer Verlag, Volume 837, p.445-452 (2018)

Url :

ISBN : 9789811319358

Keywords : Background subtraction method, Computer vision, Frame differencing, image stitching, Mixture of Gaussians, Monitoring, Moving-object detection, Object Detection, Panoramic images, Real-time application, Security threats, Soft computing, Space surveillance

Campus : Coimbatore

School : School of Engineering

Department : Computer Science

Year : 2018

Abstract : Security threats have always been a primary concern all over the world. The basic need for surveillance is to track or detect objects of interest over a scene. In most of the fields, computers are replacing humans. One such field where computers play a great role is surveillance. Typically, computer based surveillance is achieved by computer vision that replicates human vision. Here, sequences of panoramic images are created and moving objects are detected over a particular time. Moving objects are being detected using various background subtraction methods like Frame Differencing, Approximate Median and Mixture of Gaussians. In real-time applications like surveillance, the time that takes to make a decision is critical. Hence, a comparison is made between these methods in terms of elapsed time. © 2018, Springer Nature Singapore Pte Ltd.

Cite this Research Publication : Chakravartula Raghavachari and Dr. Shanmugha Sundaram G. A., “Panoramic Surveillance Using a Stitched Image Sequence”, Communications in Computer and Information Science, vol. 837, pp. 445-452, 2018.

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