Ownership of abandoned object detection by integrating carried object recognition and context sensing
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s00371-023-03089-1.pdf
Reference66 articles.
1. Zeng, Y., Lan, J., Ran, B., Gao, J., Zou, J.: A novel abandoned object detection system based on three-dimensional image information. Sensors 15, 6885–6904 (2015). https://doi.org/10.3390/s150306885
2. Lin, K., Chen, S.C., Chen, C.S., Lin, D.T., Hung, Y.P.: Abandoned object detection via temporal consistency modeling and back-tracing verification for visual surveillance. IEEE Trans. Inf. For. Secur. 10, 1359–1370 (2015). https://doi.org/10.1109/TIFS.2015.2408263
3. Li, X., Zhang, C., Zhang, D.: Abandoned objects detection using double illumination invariant foreground masks. Proc. Int. Conf. Pattern Recognit. (2010). https://doi.org/10.1109/ICPR.2010.1155
4. Singh, A., Sawan, S., Hanmandlu, M., Madasu, V.K., Lovell, B.C.: An abandoned object detection system based on dual background segmentation. In: 6th IEEE Int. Conf. Adv. Video Signal Based Surveillance, AVSS 2009. (2009) 352–357. https://doi.org/10.1109/AVSS.2009.74
5. Liu, X., Wang, J., Zhang, Q.: An abandoned object detection system based on dual background and motion analysis. In: Proc. 2012 Int. Conf. Comput. Sci. Serv. Syst. CSSS 2012. (2012) 2293–2296. https://doi.org/10.1109/CSSS.2012.569
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