Use a UAV System to Enhance Port Security in Unconstrained Environment

Zhao, Ruobing; Zhu, Zanbo; Li, Yueqing; Zhang, Jing; Xiao, Zhang

doi:10.1007/978-3-030-51758-8_11

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…Zhao et al (2020) used three parameters (distance, height, and angle) to test UAV feasibility. The method was evaluated under daylight and various weather conditions [26].…”

Section: Indoor Vs Unconstrained Environmentmentioning

confidence: 99%

Evaluating the Performance of Eigenface, Fisherface, and Local Binary Pattern Histogram-Based Facial Recognition Methods under Various Weather Conditions

Ahsan

Zhang

et al. 2021

Technologies

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Facial recognition (FR) in unconstrained weather is still challenging and surprisingly ignored by many researchers and practitioners over the past few decades. Therefore, this paper aims to evaluate the performance of three existing popular facial recognition methods considering different weather conditions. As a result, a new face dataset (Lamar University database (LUDB)) was developed that contains face images captured under various weather conditions such as foggy, cloudy, rainy, and sunny. Three very popular FR methods—Eigenface (EF), Fisherface (FF), and Local binary pattern histogram (LBPH)—were evaluated considering two other face datasets, AT&T and 5_Celebrity, along with LUDB in term of accuracy, precision, recall, and F1 score with 95% confidence interval (CI). Computational results show a significant difference among the three FR techniques in terms of overall time complexity and accuracy. LBPH outperforms the other two FR algorithms on both LUDB and 5_Celebrity datasets by achieving 40% and 95% accuracy, respectively. On the other hand, with minimum execution time of 1.37, 1.37, and 1.44 s per image on AT&T,5_Celebrity, and LUDB, respectively, Fisherface achieved the best result.

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“…Zhao et al (2020) used three parameters (distance, height, and angle) to test UAV feasibility. The method was evaluated under daylight and various weather conditions [26].…”

Section: Indoor Vs Unconstrained Environmentmentioning

confidence: 99%