Abstract
This paper proposes a new approach for detecting separation of a group of moving objects tracked by the method based on the particle filter. When some objects with overlaps come into the area filmed with the camera, they are treated as one object and tracked by a group of particles. When the object group separates into each object or some groups, the method fails in tracking or there are some objects which are not tracked. The proposed method detects the separation of the object group by the non-parametric Bayesian scheme. The method can perform the whole process in shorter time than the previous method and remains the same performance.
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Takeda, Y., Fukui, S., Iwahori, Y., Woodham, R.J. (2011). Detecting Separation of Moving Objects Based on Non-parametric Bayesian Scheme for Tracking by Particle Filter. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2011. Lecture Notes in Computer Science(), vol 6884. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23866-6_12
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DOI: https://doi.org/10.1007/978-3-642-23866-6_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23865-9
Online ISBN: 978-3-642-23866-6
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