Paper
5 August 2015 Study of target tracking techniques based on non-scanning imaging lidar
Sui Chen, Qianqian Wang, Shuhao Zhang, Bin Shan, Xiaoyang Li, Zhong Peng
Author Affiliations +
Abstract
Non-scanning imaging lidar, as a sensor, is applied in target tracking system to acquire distance image, intensity image and amplitude image, which makes it possible to achieve information fusion of the target. This system applies ARM as a hardware development platform which makes it easy to carry and achieve the system miniaturization. Target characteristics are extracted by the method combines codebook model and connected domain denoising to improve the accuracy of target characteristics extraction. Qt/Embedded development platform applied in building graphical user interface has a good architecture and programming mode which improves man-machine interaction and control efficiency. The results show the high accuracy of the target tracking, excellent man-machine interaction and perfect interface functions of the designed system.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sui Chen, Qianqian Wang, Shuhao Zhang, Bin Shan, Xiaoyang Li, and Zhong Peng "Study of target tracking techniques based on non-scanning imaging lidar", Proc. SPIE 9622, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 96220Y (5 August 2015); https://doi.org/10.1117/12.2190714
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KEYWORDS
Image processing

Image sensors

LIDAR

Imaging systems

Image fusion

Sensors

Denoising

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