Object Tracking in Video Signals using Compressive Sensing

被引：0
|
作者：
Kracunov, Marijana [1 ]
Bastrica, Milica [1 ]
Tesovic, Jovana [1 ]
机构：
[1] Univ Montenegro, Podgorica, Montenegro
来源：
2019 8TH MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING (MECO) | 2019年
关键词：
Compressive sensing; Video signals; Object tracking; TIME-FREQUENCY;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Reducing the number of pixels in video signals while maintaining quality needed for recovering the trace of an object using Compressive Sensing is main subject of this work. Quality of frames, from video that contains moving object, are gradually reduced by keeping different number of pixels in each iteration, going from 45% all the way to 1%. Using algorithm for tracing object, results were satisfactory and showed mere changes in trajectory graphs, obtained from original and reconstructed videos.
引用
收藏
页码：294 / 297
页数：4
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