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1 May 2006 Unsupervised spatiotemporal segmentation algorithm for on-chip video systems
Chi-Chou Kao, Chuen-Yau Chen, Yen-Tai Lai
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Optical Engineering, Vol. 45, Issue 5, 057401 (May 2006). https://doi.org/10.1117/1.2203369
Abstract
An efficient moving-object segmentation algorithm suitable for implementing on a chip is proposed. The basic idea is to use simultaneously a novel spatial segmentation algorithm and an effective temporal algorithm based on the accumulative information technique to produce the video objects. First, the spatial and the temporal segmentation algorithms are used simultaneously to produce the edges and the region of a moving object, respectively. Then, we make use of the edges with the region to obtain the object. It is found that the number of time-consuming motion estimation computations can be reduced dramatically. Hence, the overall processing speed is significantly accelerated to meet the hardware implementation requirement. Finally, a postprocessing step is applied to the object to smooth the object boundary. Good performance of this algorithm is demonstrated by experimental results.
©(2006) Society of Photo-Optical Instrumentation Engineers (SPIE)
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Chi-Chou Kao, Chuen-Yau Chen, and Yen-Tai Lai "Unsupervised spatiotemporal segmentation algorithm for on-chip video systems," Optical Engineering 45(5), 057401 (1 May 2006). https://doi.org/10.1117/1.2203369
Published: 1 May 2006
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KEYWORDS
Image segmentation
Video
Head
Image processing algorithms and systems
Optical engineering
Motion estimation
Detection and tracking algorithms
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