Abstract
In the current scenario as we all know that target tracking is important aspect in almost every area of real life such as medical, ATM surveillance, border security, quality checking, weather forecasting, defence security, sea shore security and monitoring moving objects. For this reason, there is a great need to develop effective and efficient algorithm for target tracking which will be used in many research areas. To fulfil the need of current time, in this paper, a statistical analysis is performed using different detection algorithm with tracking algorithm like Kalman filter with single targets in infrared imagery. This will give a great help to researcher for developing an efficient algorithm in the context of target tracking.
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We are highly grateful to IEEE OTCBVS WS Series Bench Real-World Infrared Database.
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Gupta, U., Meher, P. (2020). Statistical Analysis of Target Tracking Algorithms in Thermal Imagery. In: Mallick, P., Balas, V., Bhoi, A., Chae, GS. (eds) Cognitive Informatics and Soft Computing. Advances in Intelligent Systems and Computing, vol 1040. Springer, Singapore. https://doi.org/10.1007/978-981-15-1451-7_65
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DOI: https://doi.org/10.1007/978-981-15-1451-7_65
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