Paper
21 November 2012 Target azimuth estimation for automatic tracking in range-gated imaging
Author Affiliations +
Abstract
Target tracking is of great importance in imaging system, which can be applied in surveillance, as well as salvage and rescue where 3D spatial coordinates are used to locate the target. Range-gated imaging system is capable of acquiring range information of targets. However, azimuth is also necessary to provide the spatial coordinates to achieve target tracking. This paper presents a target azimuth estimation method for range-gated imaging system, aiming at obtaining essential information for vision-based automatic tracking. Due to the noise and low contrast of range-gated image, median filter and histogram equalization are used. Then the Otsu method is performed to make the segmentation of target and background. After segmentation, morphologic transformation methods will be taken in order to delete false targets. With pixels of target extracted from the image, the centoid will be derived. Next the pinhole camera model is applied to work out the azimuth coordinate. Since the focus length of camera is needed in the formula, an NC (Numerical Control) zoom module is developed. In this module, a sliding potentiometer is connected to the focus motor in camera, which serves as a feedback of the focus. To read the focus length and control the focus motor, an MCU (with AD converter) is used. Once the target azimuth information is obtained, the pan-tilt control unit can track the target bit by bit automatically.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yinan Cao, Xinwei Wang, and Yan Zhou "Target azimuth estimation for automatic tracking in range-gated imaging", Proc. SPIE 8558, Optoelectronic Imaging and Multimedia Technology II, 85581W (21 November 2012); https://doi.org/10.1117/12.999484
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KEYWORDS
Imaging systems

Image processing

Image segmentation

Automatic tracking

Image filtering

Zoom lenses

Cameras

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