期刊
OPTICAL ENGINEERING
卷 52, 期 1, 页码 -出版社
SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
DOI: 10.1117/1.OE.52.1.017004
关键词
infrared imagery; image fusion; target detection; target tracking
类别
资金
- U.S. Army Research Office MURI [W311NF-07-1-0185]
- National Science Foundation
- National Defense Science and Engineering Graduate Fellowship Program
- Texas Instruments Leadership University Program
Visible and infrared video cameras are the most common imaging sensors used for video surveillance systems. Fusing concurrent visible and infrared imageries may further improve the overall detection and tracking performance of a video surveillance system. We performed image fusion using 13 pixel-based image fusion algorithms and examined their effects on the detection and tracking performance of a given target tracker. We identified five fusion methods that produced significantly better performance, three of which also managed to achieve that with a relatively high efficiency. (C) 2013 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.OE.52.1.017004]
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