Abstract
This paper proposes a method of detecting moving objects using sequential inference of the background in a video taken with a moving camera. In the video taken using a moving camera, all positions of pixels change every frame. The positions of the background pixels in the image frame T are not the same as the positions of the background pixels in the image frame T + 1. 2D projective transform can be used to find changes in the pixel position every frame. Bilinear interpolation with four nearest pixels around the pixel in image frame T which corresponds to a pixel in the image frame T+1 can be used for creating a background model at T + 1. Having obtained the background model, a pixel in image frame T + 1 can be determined if it is a background pixel or a foreground pixel. The detection results of the proposed method are compared with the ground truth to determine the effectiveness of the proposed method.
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Acknowledgments
This work was supported by JSPS KAKENHI Grant Number 25350477.
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This work was presented in part at the 19th International Symposium on Artificial Life and Robotics, Beppu, Oita, January 22–24, 2014.
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Setyawan, F.A., Tan, J.K., Kim, H. et al. Detecting moving objects from a video taken by a moving camera using sequential inference of background images. Artif Life Robotics 19, 291–298 (2014). https://doi.org/10.1007/s10015-014-0168-7
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DOI: https://doi.org/10.1007/s10015-014-0168-7