Implementation and Comparative Analysis of Semi-Automated Surveillance Algorithms in Real Time using Fast-NCC

被引：0
|
作者：
Khan, Omer [1 ]
Muzzammel, Raheel [1 ]
Tahir, Umair [1 ]
Azeem, Omar [1 ]
Arshad, Rabia [1 ]
Umer, Muhammad [1 ]
机构：
[1] Univ Lahore, Elect Engn Dept, Lahore, Pakistan
来源：
4TH INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING (IC)2 | 2021年
关键词：
evaluation module (EVM); external memory interface (EMIF); field-programmable gate array (FPGA); normalized cross-correlation (NCC); real time tracking (RTT); region of interest (ROI); phase alternation line (PAL);
D O I：
10.1109/ICIC53490.2021.9692936
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Chaotic environment, irregular motion of objects creates challenging environment in the field of computer vision. Advance target tracking techniques are used to overcome these problems, but few parameters are considered ideal in those scenarios, or those parameters are ignored. In this research, cross correlation technique is applied for target tracking which is famous for feature extraction in image processing. Further, normalized cross correlation and fast-normalized cross correlation are implemented and results are compared. As enormous computation is required in these techniques, real time target tracking is factual challenge faced by this technique. High performance embedded hardware is required to implement these techniques. In this research, digital signal processor embedded board TMS320DM642 is carefully chosen for this purpose. This board is equipped with evaluation module and video decoder. Above mentioned techniques are implemented on TMS320DM642 and their results are carefully analyzed in this research.
引用
收藏
页码：327 / 332
页数：6
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