Abstract
In this paper, a modified expansion-contraction algorithm of mobile object tracking for outdoor environment is studied. Object tracking in an outdoor environment is different from indoor, and modification of the algorithm is required. A new method of object extraction and a new background updating algorithm is presented. These two methods are minimizing the effects of changes of lighting conditions. Nevertheless, the basic algorithm using expansion-contraction of object window is maintained, and moving objects can be tracked efficiently through simple operation. To show the effectiveness of the proposed algorithm, several experiments were performed on a variety of scenarios, and three of them are includes in this paper. Performance of the proposed algorithm is maintained with dramatic changed in lighting conditions.
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© 2014 Springer International Publishing Switzerland
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Kim, S., Kang, JS. (2014). A New Outdoor Object Tracking Approach in Video Surveillance. In: Kim, Y., Ryoo, Y., Jang, Ms., Bae, YC. (eds) Advanced Intelligent Systems. Advances in Intelligent Systems and Computing, vol 268. Springer, Cham. https://doi.org/10.1007/978-3-319-05500-8_16
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DOI: https://doi.org/10.1007/978-3-319-05500-8_16
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-05499-5
Online ISBN: 978-3-319-05500-8
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