Proc. SPIE. 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013)
KEYWORDS: Digital image processing, Detection and tracking algorithms, Image processing, Video, Optical flow, Network architectures, Information security, Fuzzy logic, Network security, RGB color model
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.