19 July 2013 A swaying object detection algorithm
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Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 887832 (2013) https://doi.org/10.1117/12.2030856
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China
Abstract
Moving object detection is a most important preliminary step in video analysis. Some moving objects such as spitting steam, fire and smoke have unique motion feature whose lower position keep basically unchanged and the upper position move back and forth. Based on this unique motion feature, a swaying object detection algorithm is presented in this paper. Firstly, fuzzy integral was adopted to integrate color features for extracting moving objects from video frames. Secondly, a swaying identification algorithm based on centroid calculation was used to distinguish the swaying object from other moving objects. Experiments show that the proposed method is effective to detect swaying object.
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Shidong Wang, Shidong Wang, Jianzhong Rong, Jianzhong Rong, Dechuang Zhou, Dechuang Zhou, Jian Wang, Jian Wang, } "A swaying object detection algorithm", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 887832 (19 July 2013); doi: 10.1117/12.2030856; https://doi.org/10.1117/12.2030856
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