Background Modeling Through Spatiotemporal Edge Feature and Color
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-33723-0_16
Reference12 articles.
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3. Heikkila, M., Pietikäinen, M.: A texture-based method for modeling the background and detecting moving objects. IEEE Trans. Pattern Anal. Mach. Intell. 28(4), 657–662 (2006)
4. Hofmann, M., Tiefenbacher, P., Rigoll, G.: Background segmentation with feedback: the pixel-based adaptive segmenter. In: 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 38–43. IEEE (2012)
5. Kim, J., Ramírez Rivera, A., Ryu, B., Chae, O.: Simultaneous foreground detection and classification with hybrid features. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 3307–3315 (2015)
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