Mr. Qigong He Profile

Qigong He

at Tsinghua Univ

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Proceedings Article | 4 April 2023 Paper

Sea moving target detection method based on mixed multi-Gaussian difference model

Qigong He, Yuanjie Yue, Xiaodong Jia

Proceedings Volume 12617, 126173B (2023) https://doi.org/10.1117/12.2665923

KEYWORDS: Target detection, Detection and tracking algorithms, Video, Image processing, RGB color model, Video surveillance, Target recognition, Computer simulations, Coastal modeling, Video processing

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Compared with land and air target detection, the background of video image sequence of sea moving target is more complex and changeable. In addition to considering illumination variation, shoreline targets occlusion, digital swing and other problems, interference factors such as irregular wave fluctuation and a large number of near-shore breaking waves need to be considered. Because of the size, shape, moving speed and the color correlation between the sea background, it is very difficult to detect moving targets of the sea surface. This paper analyzes the sea moving target detection method based on the mixed multi-Gaussian difference model and applies it to the offshore sea-surface video surveillance. By analyzing the characteristics of near-shore sea-surface target image, the complex scene of ocean dynamic change, the characteristics of inter-frame difference and background difference, the real-time updating strategy of mixed multi-Gaussian background models is studied on the basis of traditional frame difference and mixed Gaussian difference target detection methods, and a mixed multi-Gaussian difference detection model is designed. Through theoretical simulation, the traditional interframe difference method, mixed Gaussian difference method and the proposed method is compared and verified. The simulation results show that the improved algorithm model can detect the outline and detail features of moving targets at sea, especially for fast target detection. In addition, the algorithm does not need the prior knowledge of the scene and can update the background model adaptive in real time, has good environmental robustness.

Proceedings Article | 27 March 2022 Paper

Target recognition and anti-jamming technology of short-range laser based on high resolution range profile

Qigong He, Xiaojian Xu, Xiaodong Jia

Proceedings Volume 12169, 1216936 (2022) https://doi.org/10.1117/12.2623591

KEYWORDS: Target recognition, Target detection, Laser applications, Clouds, Ranging, Signal detection, Feature extraction

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Aiming at the problem of reliable detection and recognition of targets in the short-range laser detection system under complex background and strong countermeasure environment, the broadening characteristics of pulse laser echo in the large dynamic change scene are studied, and an adaptive time discrimination algorithm is proposed. The algorithm uses the extracted pulse features to correct the echo delay, and then extracts one-dimensional high resolution range profile (HRRP). On this basis, the variation law of range image and intensity image of targets with different reflection characteristics is studied, and a laser target recognition and anti-jamming method based on prior model is proposed to improve the reliability of laser detection in complex environment and reduce the false alarm probability. Through numerical simulation analysis, the results show that the proposed method can identify the target quickly and efficiently in a complex background environment, effectively improve the efficiency and reliability of target detection, for the subsequent short-range laser detection system anti-interference provide reference for engineering design.

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