Statistically tuned Gaussian background subtraction technique for UAV videos
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/content/pdf/10.1007/s12046-014-0272-3.pdf
Reference18 articles.
1. Anuva Chowdhury, Sang Jin Cho and Vi Pil Chong 2011 A background subtraction method using color information in the framing averaging process, The 6 t h International forum on Strategic Technology
2. Cucchiara R, Grana C, Piccardi M and Prati A 2003 Detecting moving objects, ghosts and shadows in video streams. IEEE Trans. Pattern Anal. Mach. Intell. 25 (10): 1337–1342
3. Elgammal A M, Harwood D and Davis L S 2000 Non-parametric model for background subtraction. In: Proceedings of the 6th European Conference on Computer Vision-Part II, ECCV ’00, 751–767, London, UK: Springer
4. Martin Hofmann, Philipp Tiefenbacher and Gerhard Rigoll 2012 Background segmentation with feedback: The pixel based adaptive segmenter. IEEE Computer Vision and Pattern Recognition Workshop, 16–12 June, 38–43
5. Massimo Piccardio 2004 Background Subtraction Techniques: A Review. IEEE Int. Conf. Syst. Man Cybern. 3099–3104
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Onboard Audio and Video Processing for Secure Detection, Localization, and Tracking in Counter-UAV Applications;Procedia Computer Science;2022
2. Labeled dataset for integral evaluation of moving object detection algorithms: LASIESTA;Computer Vision and Image Understanding;2016-11
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