PERFORMANCE MEASUREMENT OF PHOTOELECTRIC DETECTION AND TARGET TRACKING ALGORITHM

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic

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VOLUME 8 , ISSUE 3 (September 2015) > List of articles

PERFORMANCE MEASUREMENT OF PHOTOELECTRIC DETECTION AND TARGET TRACKING ALGORITHM

Correspondence
haidouyang@163.com '> Haidou Yang * / Correspondence
leili_yhd2015@163.com '> Wei Li *

Keywords : photoelectric detection, target track, detection capability, SNR.

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 8, Issue 3, Pages 1,554-1,575, DOI: https://doi.org/10.21307/ijssis-2017-819

License : (CC BY-NC-ND 4.0)

Received Date : 03-April-2015 / Accepted: 22-July-2015 / Published Online: 01-September-2015

ARTICLE

ABSTRACT

To solve the unstable problem of target tracking detection system, this paper proposes an improved mean-shift algorithm for object tracking, establishes object tracking processing model;provides the processing algorithm of object tracking. According to the principal of object tracking, papersets up sky background brightness calculation model in photoelectric tracking optical detection area and detection capability calculation model of space object, analyzes the effect of background illumination on the signal to noise ratio(SNR) of photoelectric tracking system, gives the change curve of detection capability based on the exposure time of CCD camera, SNR threshold of photoelectric detection system and dark current of photoelectric detection system. Through calculation and test , paperprovidesthe comparison results of the improved mean-shift and traditional mean-shift, verifies the correctness of the proposed algorithm and calculation models for photoelectric detection capability in target tracking detection system, the results show the improved mean-shiftobject tracking algorithm and detection capability calculation model are correct

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