Funder
Fund for Improvement of S & T Infrastructure in Universities and Higher Educational Institutions (FIST) Program 2016, Department of Science and Technology, Government of India
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Reference46 articles.
1. Arthur D, Vassilvitskii S (2007) K-means++: The advantages of careful seeding. In: Proceedings of the 18th annual ACM-SIAM symposium on discrete algorithms. Society for Industrial and Applied Mathematics, pp 1027–1035
2. Benenson R, Omran M, Hosang J, Schiele B (2014) Ten years of pedestrian detection, what have we learned?. In: European conference on computer vision. Springer, pp 613–627.
https://doi.org/10.1007/978-3-319-16181-5_47
3. Brown LM, Feris R, Pankanti S (2014) Temporal non-maximum suppression for pedestrian detection using self-calibration. In: International conference on pattern recognition. IEEE, pp 2239–2244.
https://doi.org/10.1109/ICPR.2014.389
4. Brunetti A, Buongiorno D, Trotta GF, Bevilacqua V (2018) Computer vision and deep learning techniques for pedestrian detection and tracking: a survey. Neurocomputing 300:17–33.
https://doi.org/10.1016/j.neucom.2018.01.092
5. Comaniciu D, Ramesh V, Meer P (2003) Kernel-based object tracking. IEEE Trans Pattern Anal Mach Intell 25(5):564–577.
https://doi.org/10.1109/TPAMI.2003.1195991
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