Multiple Objects Tracking Using the Kalman Filter Method in Outdoor Video

Authors

  • P.P Halkarnikar, Amol Dhakne, Pratiksha Shevatekar, Prateek A. Meshram, Shivaji R. Vasekar, Jitendra Garud

DOI:

https://doi.org/10.17762/msea.v71i4.1386

Abstract

In video surveillance systems, one of the most critical tasks is object tracking. Due to the constantly shifting circumstances outside, following moving objects in outdoor footage may be challenging. Inside the scope of this article, we investigated a variety of factors that might impact the tracking of objects within outdoor movies. Occlusion of objects may occur while monitoring many objects in an outdoor video system since the lighting conditions in the environment are always changing. When opposed to an interior setting, which has illumination conditions that are constant, tracking things in an outdoor area is much more challenging as a result of this factor. The shadows that fall on top of each other in the movie make it difficult to follow objects and produce occlusion of some of them. Tracking is one of the most common applications for the Kalman filter. When an item disappears, however, the system becomes unstable, and it takes the Kalman filter a significant amount of time to begin tracking again. In order to prevent this from happening, we have suggested using a modified version of the Kalman filter, which will make it easier to track objects in environments that are constantly changing outside.

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Published

2022-12-31

How to Cite

P.P Halkarnikar, Amol Dhakne, Pratiksha Shevatekar, Prateek A. Meshram, Shivaji R. Vasekar, Jitendra Garud. (2022). Multiple Objects Tracking Using the Kalman Filter Method in Outdoor Video. Mathematical Statistician and Engineering Applications, 71(4), 7711–7719. https://doi.org/10.17762/msea.v71i4.1386

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Section

Articles