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http://dx.doi.org/10.5139/JKSAS.2011.39.12.1115

An Image Processing Algorithm for Detection and Tracking of Aerial Vehicles in Short-Range  

Cho, Sung-Wook (KAIST 항공우주공학과 대학원)
Huh, Sung-Sik (KAIST 항공우주공학과 대학원)
Shim, Hyun-Chul (KAIST 항공우주공학과)
Choi, Hyoung-Sik (한국항공우주연구원 비행제어팀)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.39, no.12, 2011 , pp. 1115-1123 More about this Journal
Abstract
This paper proposes an image processing algorithms for detection and tracking of aerial vehicles in short-range. Proposed algorithm detects moving objects by using image homography calculated from consecutive video frames and determines whether the detected objects are approaching aerial vehicles by the Probabilistic Multi-Hypothesis Tracking method(PMHT). This algorithm can perform better than simple color-based detection methods since it can detect moving objects under complex background such as the ground seen during low altitude flight and consider the characteristics of vehicle dynamics. Furthermore, it is effective for the flight test due to the reduction of thresholding sensitivity against external factors. The performance of proposed algorithm is verified by applying to the onboard video obtained by flight test.
Keywords
Detection of Aerial Vehicle; Probabilistic Multi-Hypothesis Tracking method; Homography Estimation; Multi-Target Information Management;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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