Video Analysis of Water Drop Penetration Time Using Temporal Action Localization for Evaluating Soil Water Repellency

被引:0
|
作者
Wang, Danxu [1 ]
Regentova, Emma [1 ]
Muthukumar, Venkatesan [1 ]
Berli, Markus [2 ]
Harris, Frederick C., Jr. [3 ]
机构
[1] Univ Nevada, Dept Elect & Comp Engn, 4505 S Maryland Pkwy, Las Vegas, NV 89154 USA
[2] Desert Res Inst, Div Hydrol Sci, 755 E Flamingo Rd, Las Vegas, NV 89119 USA
[3] Univ Nevada, Dept Comp Sci & Engn, Reno, NV 89557 USA
来源
ADVANCES IN VISUAL COMPUTING, ISVC 2024, PT II | 2025年 / 15047卷
关键词
Temporal Action Localization; ActionFormer; TriDet; Water Drop Penetration Time (WDPT); Soil Water Repellency (SWR); FIRE;
D O I
10.1007/978-3-031-77389-1_13
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We present a system for the automated measurement of Water Drop Penetration Time (WDPT) that is commonly used for evaluating soil water repellency (SWR). Conventional manual measurements of WDPT are labor-intensive, subjective, tend to produce variability of outcomes, and are not available in remote and difficult-to-reach locations. The developed system performs a standardized WDPT test, estimates WDPT, and evaluates SWR. The entire process from drop landing on the soil surface to its complete absorption is modeled as a temporal action, and consequently, the WDPT estimation is solved using Temporal Action Localization (TAL) models. Two state-of-the-art TAL models are explored and compared: ActionFormer and TriDet. Although TriDet has a lower mean absolute error for fast absorption events, ActionFormer outperforms it by the average AP metric and the accuracy of SWR characterization.
引用
收藏
页码:159 / 170
页数:12
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