Paper
1 September 1995 Algorithm and architecture of detecting and tracking small targets in IR images
Lan Tao, Zhi-Wei Zhen, Zhenkang Shen, Guan Hua
Author Affiliations +
Abstract
This paper presents a practical algorithm and system for automatic detecting and tracking small targets in IR image sequences. A recursively adaptive detection is designed to improve SCR and deal with the unknown background clutter. Then the algorithm labels the candidate targets with a new method which can be done rapidly, and locks the real target based on a multi-frame concept. The system includes two processors, CoreModule and TMS320C30. They constitute a flexible multi-bus architecture which can perform the algorithm parallelly. Experiment results demonstrate that the system can detect and track low intensity small targets successfully in real time.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lan Tao, Zhi-Wei Zhen, Zhenkang Shen, and Guan Hua "Algorithm and architecture of detecting and tracking small targets in IR images", Proc. SPIE 2561, Signal and Data Processing of Small Targets 1995, (1 September 1995); https://doi.org/10.1117/12.217690
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KEYWORDS
Target detection

Detection and tracking algorithms

Image processing

Infrared imaging

Algorithm development

Automatic tracking

Data processing

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