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

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 l...

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Veröffentlicht in:Applied Mechanics and Materials 2013-09, Vol.397-400, p.2231-2234
Hauptverfasser: Ji, Yuan Yuan, Feng, Shi Han, Zhang, Qi, Miao, Peng
Format: Artikel
Sprache:eng
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Zusammenfassung: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.
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.397-400.2231