Real-Time Boundary Detection of Fast Moving Object in Dark Surrounds

Abstract:

Dark surrounds make detection of moving target more difficult based on traditional methods. A real time identification of fast moving object under weak illumination is critical for some special applications. Traditional blob, contour and kernel-based tracking methods either need high computational loads or require normal illumination which limit their application. In this paper, we propose a new method trying to settle such difficulty based on temporal standard deviation. The performance of new method was evaluated with simulation data and real video data recorded by a simple imaging system. Combining hardware acceleration, a real time detection and visualization of fast moving boundary in dark environment can be achieved.

• Periodical: Applied Mechanics and Materials (Volumes 397-400)
• Pages: 2231-2234
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.397-400.2231
• Online since: September 2013
• Authors: Peng Miao, Shi Han Feng, Qi Zhang, Yuan Yuan Ji
• Keywords: Boundary Detection, Dark Surrounds, Fast Moving Object, Real-Time

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