9 July 2011 Moving object detection and tracking based on improved Surendra background updating algorithm
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Proceedings Volume 8009, Third International Conference on Digital Image Processing (ICDIP 2011); 800919 (2011); doi: 10.1117/12.896113
Event: 3rd International Conference on Digital Image Processing, 2011, Chengdu, China
Abstract
Background subtraction method is usually used to detect the moving objects. But the establishment of the background model is vulnerable due to some external environmental influences, e.g. the noise, the brightness variations and so on. This paper presents a method based on three frame difference arithmetic of Surendra background updating algorithm to build the background model. By difference calculation of the current frame and background model, and deal with the binary images by applying the difference images, then make the morphology operation for removing the noises to get the smooth images, mark the different connected regions among binary images. According to different labels in connected regions, this paper defines different center of mass of moving objects, and analyzes the image features of moving object area, so as to achieve the detection and track of moving objects.
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Cheng-liang Wang, Liang-liang Jia, Juan-juan Chen, "Moving object detection and tracking based on improved Surendra background updating algorithm", Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 800919 (9 July 2011); doi: 10.1117/12.896113; https://doi.org/10.1117/12.896113
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KEYWORDS
Binary data

Image processing

Detection and tracking algorithms

Image segmentation

Video

Image processing algorithms and systems

Evolutionary algorithms

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