Abstract
The problem of top viewing human tracking in a closed environment, such as is the area of a shopping centre is a challenging one. In this paper we test a number of Kalman and simple particles filters-based algorithms for solving the visual tracking problem. Although results obtained from the experiments that we have conducted are promising and can be considered as adequate from all practical perspectives, more research must be done so that the filter used takes into account the existing peculiarities in the movements of human beings.
This research has been done on behalf of the Development Funding Program: Smartcams Integrated system for anonymous monitoring via smarcams of customer behavior, movement and responses in shopping centers (38SEMs2010).
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Notes
- 1.
Assuming that the speed of a human being who is moving in a shopping centre is upper bounded by 5Â km/h, in all the experiments we have conducted T was set to 0.1Â s.
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Vasileiou, P.G., Lamprinou, N., Psarakis, E.Z., Tzimas, G., Achilleopoulos, N. (2016). Top Viewing Human Tracking in Shopping Centres. In: Borangiu, T. (eds) Advances in Robot Design and Intelligent Control. Advances in Intelligent Systems and Computing, vol 371. Springer, Cham. https://doi.org/10.1007/978-3-319-21290-6_42
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DOI: https://doi.org/10.1007/978-3-319-21290-6_42
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