Image tracking for a partially shaded noisy manoeuvring target

淡江大學機構典藏 > 工學院 > 電機工程學系暨研究所 > 期刊論文 > Item 987654321/46081

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题名:	Image tracking for a partially shaded noisy manoeuvring target
作者:	Lin, Yung-tsan;Jenge, Bor-Leh;Shyu, Hsuen-chyun;Chiang, Shu-min
贡献者:	淡江大學電機工程學系
日期:	1994-04
上传时间:	2010-03-26 20:54:05 (UTC+8)
出版者:	Abingdon: Taylor & Francis
摘要:	A Kalman filter based image tracking algorithm is developed. When target is locked, a Kalman filter model is utilized to track the target under a partially shaded manoeuvring path and a set of invariant features of homomorphic skew-ness and kurtosis, which are derived from the spectrum histogram of the target image, is used to check whether the target has breaklocked or not in every image frame during the tracking phase. Another set of invariant features derived from the geometrical shape of the target image is used as checking indices. After simulations, we find that the tracking algorithm combining the Kalman filter model with the invariant features of skewness and kurtosis has a good performance even at a signal to noise ratio as low as 0·4 dB.
關聯:	International journal of systems science 25(4), pp.683-693
DOI:	10.1080/00207729408928989
显示于类别:	[電機工程學系暨研究所] 期刊論文

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