Network Video Frame-Skip Modeling and Simulation

被引：0
|
作者：
Cempron, Jonathan Paul C. [1 ]
Ilao, Joel P. [1 ]
机构：
[1] De La Salle Univ, Coll Comp Studies, Ctr Automat Res, Manila, Philippines
来源：
2021 27TH INTERNATIONAL CONFERENCE ON MECHATRONICS AND MACHINE VISION IN PRACTICE (M2VIP) | 2021年
关键词：
TRACKING;
D O I：
10.1109/M2VIP49856.2021.9664996
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A high video frame rate is ideal for many computer vision applications; however, this is not is usually the case for video feeds streamed from network cameras, which also exhibit frame skipping. Frame skipping can be considered as a type of degradation of the live-streamed video, and is detrimental to object tracking and other computer vision tasks. In this paper, we empirically model frame skipping and present a method for simulating frame skipping using videos with high frame rates. This simulation method was then validated by comparing the frame rate histograms of real and simulated frame-skipped videos. Finally, we demonstrate how frame skipping degrades the performance of an object tracker.
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收藏
页数：6
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