Automatic moving object segmentation based on spatial and temporal information

WenJen Ho; Tachun Wang

doi:10.1117/12.360424

24 August 1999 Automatic moving object segmentation based on spatial and temporal information

WenJen Ho, Tachun Wang

Proceedings Volume 3846, Multimedia Storage and Archiving Systems IV; (1999) https://doi.org/10.1117/12.360424
Event: Photonics East '99, 1999, Boston, MA, United States

Abstract

In this paper, a fast and robust automatic moving object segmentation system is introduced. The system tries to integrate the spatial and temporal segmentation results to separate moving objects from still background in video frames. For the spatial segmentation, the intensity histogram of each frame is smoothed using numerical diffusion algorithm, producing a multimodal probability density function consists of Gaussian kernels. Then, Laplacian operator is applied to the smoothed histogram in order to identify the dominant intensity, and the frame is segmented into separate regions with the dominant intensity. This new method can produce stable spatial region segmentation results with relatively cheap computational cost. According to the segmented regions, moving objects can be detected by a statistic scene segment the object boundaries accurately throughout the entire video sequence.

Citation Download Citation

WenJen Ho and Tachun Wang "Automatic moving object segmentation based on spatial and temporal information", Proc. SPIE 3846, Multimedia Storage and Archiving Systems IV, (24 August 1999); https://doi.org/10.1117/12.360424

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