Abstract
Some of the main issues for the governments and businesses nowadays are security and monitoring. Several critical locations need high security such as military bases, airports, malls, and checkpoints. The ambition and objective of this paper are to detect and track multiple objects while considering the challenges of partial and full occlusion. This paper presents an efficient algorithm for object tracking which can track objects in the presence of occlusion. The results are compared with the original Kalman filter-based approach. The proposed algorithm has an average of 0.51% improvement comparing to the original algorithm according to the following three test scenarios. It has 0.43% improvement for test 1, which is object tracking having full occlusion, 0.57% improvement for the second scenario, which is object tracking having full occlusion having a different dataset and 0.52% improvement for the third scenario in the tracked objects have been partially occluded. The accuracy, efficiency, and analogy of the proposed algorithm with the original algorithm show promising results.
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Shahab, B., Alizadeh, F. (2022). An Efficient Approach for Multiple Moving Objects Tracking with Occlusion. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 216. Springer, Singapore. https://doi.org/10.1007/978-981-16-1781-2_62
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DOI: https://doi.org/10.1007/978-981-16-1781-2_62
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